Prometheus The Complete Hands-On for Monitoring Alerting
Posted by Superadmin on April 23 2021 02:45:04

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0101. Introduction to Prometheus



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0102. Alternate Monitoring Tools



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0103. Basic Terminologies in Prometheus



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0201. Architecture of Prometheus



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0202. How Prometheus Works behind the scenes (Life Cycle)



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0301. Virtual Machine Installation



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0302. Prometheus Installation



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0302.1 Prometheus Official Website.html



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0303. First Look of Prometheus UI



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0304. Understanding Prometheus Configuration File



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0304.1 Prometheus Configuration File Options.html



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0305. Prometheus First Run



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0401. What are Exporters



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0401.1 Prometheus Exporters List.html



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0402. Node Exporter - Monitoring Linux Systems



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0403. WMI Exporter - Monitoring Windows Systems



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0403.1 WMI Exporter GitHub link.html



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0404. Quiz.html



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0501. Data Types in PromQL



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0502. Selectors & Matchers



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0503. Binary Operators



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0503.1 Operators.html



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0504. 'ignoring' and 'on' keywords



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0505. Aggregation Operators



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0505.1 Operators.html



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0506. Functions - 'rate' & 'irate'



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0506.1 Query Functions List.html



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0507. Functions - changes, deriv, predict_linear



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0507.1 Query Functions List.html



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0508. Functions continued



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0508.1 Query Functions List.html



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0509. Quiz.html



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0510. Assignment.html



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0601. What are Client Libraries and Metric Types



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0602. Python app Boilerplate Code



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0602.1 prom_python_app codes.zip



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0603. Exposing Metrics from Python app using Prometheus Client



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0603.1 prom_python_app codes.zip



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0604. Counter Metrics Exposition



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0604.1 Metric and Label Naming conventions



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0604.2 prom_python_app codes.zip



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0605. Adding Labels to Exposed Metrics



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0605.1 prom_python_app codes.zip



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0606. Gauge Metrics Exposition



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0606.1 prom_python_app codes.zip



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0607. Summary Metrics Exposition



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0607.1 prom_python_app codes.zip



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0608. Histogram Metrics Exposition



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0608.1 prom_python_app codes.zip



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0701. GO app Boilerplate Code



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0701.1 Go Installation Guide.html



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0701.2 prom_go_app.zip



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0702. Counter Metrics Exposition



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0702.1 prom_go_app.zip



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0703. Gauge Metrics Exposition



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0703.1 prom_go_app.zip



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0704. Summary Metrics Exposition



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0704.1 prom_go_app.zip



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0705. Histogram Metrics Exposition



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0705.1 prom_go_app.zip



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0801. What to Instrument



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0802. How much to Instrument



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0901. What are Recording Rules



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0902. Reload Prometheus Configurations on-the-fly



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0903. Writing Recording Rules



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0903.1 myrules.txt



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0904. Writing Recording Rules continued



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0904.1 myrules.txt



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0905. Add Multiple Rules



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0905.1 myrules.txt



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


0906. Best Practices for Recording Rules



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1001. What is Alerting



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1002. Writing & Firing the first Alert



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1002.1 myrules.txt



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1003. 'for' clause



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1004. Adding Labels to Alerts



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1004.1 myrules.txt



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1005. Installing Alertmanager



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1006. Adding Alert Notifier - Gmail



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1006.1 alertmanager.txt



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1007. Sending Alert Notifications - Gmail



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1008. Templating the Alerts



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1008.1 myrules.txt



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1101. Case Study - Problem Statement



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1102. Understanding the Use Case for Routing Tree



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1103. Write Alerting Rules for the Use Case



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1103.1 rule files.zip



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1104. Coding the Routing Tree - Part 1



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1104.1 coding the routing tree - part 1



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1105. Coding the Routing Tree - Part 2



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1105.1 coding the routing tree - part 2.txt



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1106. Assignment.html



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1107. Coding the Routing Tree - Part 3



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1107.1 coding the routing tree - part 3.txt



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1107.2 Routing tree editor Link.html



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1108. Run the Routing Tree



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1108.1 stress command.txt



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1109. Grouping the Alerts



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1110. Throttling the Alerts



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1111. Inhibiting the Alerts



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1111.1 alertmanager.txt



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1112. Silencing the Alerts



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1113. 'continue' clause



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1201. What is Blackbox exporter



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1202. Download Blackbox exporter



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1203. 'http' probe module



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1203.1 blackbox.txt



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1204. 'tcp' & 'icmp' probe module



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1205. 'dns' probe module



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1205.1 blackbox.txt



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1206. Scraping targets via Blackbox



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1206.1 prometheus.txt



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1207. Relabelling



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1207.1 prometheus.txt



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1301. Introduction to Pushgateway



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1302. Getting Started with Pushgateway



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1303. Push metrics to Pushgateway



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1303.1 pushgateway command



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1304. Automate Pushing metrics using Cron job



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1305. Python App pushing metrics to Pushgateway



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1305.1 Python client Link.html



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1306. Pushgateway Pitfalls



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1401. Introduction to Service Discovery



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1402. Static Service Discovery



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1403. File-based Service Discovery



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1403.1 file_sd.json



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1403.2 prometheus.txt



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1403.3 file_sd.txt



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1501. Create Prometheus User in AWS



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1502. Spinning up AWS EC2 instance



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1502.1 prometheus.txt



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1503. Node Exporter on EC2 instance



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1504. Assignment.html



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1505. Relabeling the private IP to public



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1505.1 prometheus.txt



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1506. 'keep' and 'drop' targets with Relabeling



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1506.1 file_sd.txt



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1506.2 prometheus.txt



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1601. AWS Cloudwatch & UI tour



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1602. Installation & Configuration



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1602.1 install cloudwatch_exporter.txt



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1603. Running the Cloudwatch Exporter



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1603.1 Cloudwatch Metrics link.html



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1701. 'mysql' Exporter



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1701.1 .my.cnf.txt



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1701.2 Github link of mysql exporter.html



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1801. Running Prometheus with HTTP API



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1801.1 API Endpoints List.html



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1901. Grafana Installation



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1902. Adding Data source to Grafana



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


1903. Implementing default dashboards of Grafana



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


2001. Recommendation



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


2002. When to use Prometheus and When NOT to

https://drive.google.com/file/d//view?usp=sharing


Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


2003. Create Gmail App Passwords



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


2004. ThankYou



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


2004.1 Prometheus Exporters.html



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


2004.2 Contribute.html



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents

Prometheus The Complete Hands-On for Monitoring & Alerting

with Enrico Lambino


2004.3 Prometheus Roadmap.html



Prometheus  The Complete Hands-On for Monitoring Alerting

 

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, HTTP API, and many more...
Monitor the Amazon Cloud (AWS) with Prometheus.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Requirements
A very basic knowledge of YAML will be an add-on.
Rest everything on Prometheus is covered in this course with line to line explanations.
Description
"Prometheus is an open source tool used for event monitoring and alerting."

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What's included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.

Each and every Prometheus concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of Prometheus.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Include even those concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.

Technicalities

Many (official & 3rd party) exporters.

In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).

Instrument the Python or Go applications to expose custom metrics with Client Libraries.

Dynamically add or remove scrape targets using Service Discovery.

Recording Rules.

Monitor the Amazon Cloud (AWS) with Prometheus.

Creating an end to end Routing Tree for Alerting systems.

How to scrape from batch jobs using Pushgateway.

Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.

Build value added dashboards with GRAFANA.

Learn Best practices / Do's & Dont's to follow while monitoring in Real-Time DevOps Projects.

After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.

Prometheus codes and other resources used in lectures are attached in the course for your convenience.

I am going to update it frequently, every time adding new components of Prometheus.

Who this course is for:
Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.


  

Course Contents