01_01. Hello From ExamPro

This course jumps straight into showing you the exact steps you'll need to setup the infrastructure to deploy a web-application into production using Blue/Green deployment.

I have built an example web-application in Ruby on Rails tuned for production which we'll use to provision an EC2 instance, then bake instance to Amazon Machine Image (AMI). We'll then use that AMI in a Launch Configuration and Create an Auto Scaling Group (ASG). We'll than tie our ASG to an Application Load Balancer (ALB). We'll use CodeDeploy for Blue/Green Deployment and automate deployment on git push with CodePipeline.

Built For Real World Use

This is an end-to-end course and its intended for real use. I have setup multiple startups on this exact configuration. If you are using Heroku, Linode or Digital Ocean and are thinking of moving over to AWS but wanted the course that's going to help you move over as fast as possible than this is the course for you.

Automated Deployment It was important that I show you how to setup automatic deployment on git push so you have the same productivity as you would with Heroku.

AWS Services Covered VPC, Route Tables, Subnets, IGW
EC2
S3
IAM
RDS
Auto Scaling Groups
Application Load Balancer
Systems Manager
CodeDeploy
CodePipeline


AWS Certification Seekers
If you are studying for the SysOps Associate or the DevOps Professional this course is going to help you gain the practical knowledge around Auto Scaling Groups and Load Balancing and Blue/Green deployment.

What you'll learn

Setting up your AWS Network
Creating RDS Postgres Database
Configure, Launch and SSH into EC2
Provision Ruby on Rails For Production
Create an Amazon Machine Image
Setup an Auto Scaling Group
Setup an Application Load Balancer
Blue/Green deployment via CodeDeploy
Automatic Deployment via CodePipeline

Requirements

You need to have a Free Github Account
You need to have basic knowledge of Terminal or Powershell
You need to be able to clone a git repo to your local machine
You need very basic knowledge of any scripting language
Ruby on Rails knowledge is not required
You need your own AWS Account
You need to have basic knowledge of Terminal or Powershell

01_02. Architectural Overview

This course jumps straight into showing you the exact steps you'll need to setup the infrastructure to deploy a web-application into production using Blue/Green deployment.

I have built an example web-application in Ruby on Rails tuned for production which we'll use to provision an EC2 instance, then bake instance to Amazon Machine Image (AMI). We'll then use that AMI in a Launch Configuration and Create an Auto Scaling Group (ASG). We'll than tie our ASG to an Application Load Balancer (ALB). We'll use CodeDeploy for Blue/Green Deployment and automate deployment on git push with CodePipeline.

Built For Real World Use

This is an end-to-end course and its intended for real use. I have setup multiple startups on this exact configuration. If you are using Heroku, Linode or Digital Ocean and are thinking of moving over to AWS but wanted the course that's going to help you move over as fast as possible than this is the course for you.

Automated Deployment It was important that I show you how to setup automatic deployment on git push so you have the same productivity as you would with Heroku.

AWS Services Covered VPC, Route Tables, Subnets, IGW
EC2
S3
IAM
RDS
Auto Scaling Groups
Application Load Balancer
Systems Manager
CodeDeploy
CodePipeline


AWS Certification Seekers
If you are studying for the SysOps Associate or the DevOps Professional this course is going to help you gain the practical knowledge around Auto Scaling Groups and Load Balancing and Blue/Green deployment.

What you'll learn

Setting up your AWS Network
Creating RDS Postgres Database
Configure, Launch and SSH into EC2
Provision Ruby on Rails For Production
Create an Amazon Machine Image
Setup an Auto Scaling Group
Setup an Application Load Balancer
Blue/Green deployment via CodeDeploy
Automatic Deployment via CodePipeline

Requirements

You need to have a Free Github Account
You need to have basic knowledge of Terminal or Powershell
You need to be able to clone a git repo to your local machine
You need very basic knowledge of any scripting language
Ruby on Rails knowledge is not required
You need your own AWS Account
You need to have basic knowledge of Terminal or Powershell

02_01. Creating a VPC (Virtual Private Cloud)

This course jumps straight into showing you the exact steps you'll need to setup the infrastructure to deploy a web-application into production using Blue/Green deployment.

I have built an example web-application in Ruby on Rails tuned for production which we'll use to provision an EC2 instance, then bake instance to Amazon Machine Image (AMI). We'll then use that AMI in a Launch Configuration and Create an Auto Scaling Group (ASG). We'll than tie our ASG to an Application Load Balancer (ALB). We'll use CodeDeploy for Blue/Green Deployment and automate deployment on git push with CodePipeline.

Built For Real World Use

This is an end-to-end course and its intended for real use. I have setup multiple startups on this exact configuration. If you are using Heroku, Linode or Digital Ocean and are thinking of moving over to AWS but wanted the course that's going to help you move over as fast as possible than this is the course for you.

Automated Deployment It was important that I show you how to setup automatic deployment on git push so you have the same productivity as you would with Heroku.

AWS Services Covered VPC, Route Tables, Subnets, IGW
EC2
S3
IAM
RDS
Auto Scaling Groups
Application Load Balancer
Systems Manager
CodeDeploy
CodePipeline


AWS Certification Seekers
If you are studying for the SysOps Associate or the DevOps Professional this course is going to help you gain the practical knowledge around Auto Scaling Groups and Load Balancing and Blue/Green deployment.

What you'll learn

Setting up your AWS Network
Creating RDS Postgres Database
Configure, Launch and SSH into EC2
Provision Ruby on Rails For Production
Create an Amazon Machine Image
Setup an Auto Scaling Group
Setup an Application Load Balancer
Blue/Green deployment via CodeDeploy
Automatic Deployment via CodePipeline

Requirements

You need to have a Free Github Account
You need to have basic knowledge of Terminal or Powershell
You need to be able to clone a git repo to your local machine
You need very basic knowledge of any scripting language
Ruby on Rails knowledge is not required
You need your own AWS Account
You need to have basic knowledge of Terminal or Powershell

02_02. Creating a IGW (Internet Gateway)

This course jumps straight into showing you the exact steps you'll need to setup the infrastructure to deploy a web-application into production using Blue/Green deployment.

I have built an example web-application in Ruby on Rails tuned for production which we'll use to provision an EC2 instance, then bake instance to Amazon Machine Image (AMI). We'll then use that AMI in a Launch Configuration and Create an Auto Scaling Group (ASG). We'll than tie our ASG to an Application Load Balancer (ALB). We'll use CodeDeploy for Blue/Green Deployment and automate deployment on git push with CodePipeline.

Built For Real World Use

This is an end-to-end course and its intended for real use. I have setup multiple startups on this exact configuration. If you are using Heroku, Linode or Digital Ocean and are thinking of moving over to AWS but wanted the course that's going to help you move over as fast as possible than this is the course for you.

Automated Deployment It was important that I show you how to setup automatic deployment on git push so you have the same productivity as you would with Heroku.

AWS Services Covered VPC, Route Tables, Subnets, IGW
EC2
S3
IAM
RDS
Auto Scaling Groups
Application Load Balancer
Systems Manager
CodeDeploy
CodePipeline


AWS Certification Seekers
If you are studying for the SysOps Associate or the DevOps Professional this course is going to help you gain the practical knowledge around Auto Scaling Groups and Load Balancing and Blue/Green deployment.

What you'll learn

Setting up your AWS Network
Creating RDS Postgres Database
Configure, Launch and SSH into EC2
Provision Ruby on Rails For Production
Create an Amazon Machine Image
Setup an Auto Scaling Group
Setup an Application Load Balancer
Blue/Green deployment via CodeDeploy
Automatic Deployment via CodePipeline

Requirements

You need to have a Free Github Account
You need to have basic knowledge of Terminal or Powershell
You need to be able to clone a git repo to your local machine
You need very basic knowledge of any scripting language
Ruby on Rails knowledge is not required
You need your own AWS Account
You need to have basic knowledge of Terminal or Powershell

02_03. Attaching Your IGW to your VPC

This course jumps straight into showing you the exact steps you'll need to setup the infrastructure to deploy a web-application into production using Blue/Green deployment.

I have built an example web-application in Ruby on Rails tuned for production which we'll use to provision an EC2 instance, then bake instance to Amazon Machine Image (AMI). We'll then use that AMI in a Launch Configuration and Create an Auto Scaling Group (ASG). We'll than tie our ASG to an Application Load Balancer (ALB). We'll use CodeDeploy for Blue/Green Deployment and automate deployment on git push with CodePipeline.

Built For Real World Use

This is an end-to-end course and its intended for real use. I have setup multiple startups on this exact configuration. If you are using Heroku, Linode or Digital Ocean and are thinking of moving over to AWS but wanted the course that's going to help you move over as fast as possible than this is the course for you.

Automated Deployment It was important that I show you how to setup automatic deployment on git push so you have the same productivity as you would with Heroku.

AWS Services Covered VPC, Route Tables, Subnets, IGW
EC2
S3
IAM
RDS
Auto Scaling Groups
Application Load Balancer
Systems Manager
CodeDeploy
CodePipeline


AWS Certification Seekers
If you are studying for the SysOps Associate or the DevOps Professional this course is going to help you gain the practical knowledge around Auto Scaling Groups and Load Balancing and Blue/Green deployment.

What you'll learn

Setting up your AWS Network
Creating RDS Postgres Database
Configure, Launch and SSH into EC2
Provision Ruby on Rails For Production
Create an Amazon Machine Image
Setup an Auto Scaling Group
Setup an Application Load Balancer
Blue/Green deployment via CodeDeploy
Automatic Deployment via CodePipeline

Requirements

You need to have a Free Github Account
You need to have basic knowledge of Terminal or Powershell
You need to be able to clone a git repo to your local machine
You need very basic knowledge of any scripting language
Ruby on Rails knowledge is not required
You need your own AWS Account
You need to have basic knowledge of Terminal or Powershell

02_04. Creating your Subnet

This course jumps straight into showing you the exact steps you'll need to setup the infrastructure to deploy a web-application into production using Blue/Green deployment.

I have built an example web-application in Ruby on Rails tuned for production which we'll use to provision an EC2 instance, then bake instance to Amazon Machine Image (AMI). We'll then use that AMI in a Launch Configuration and Create an Auto Scaling Group (ASG). We'll than tie our ASG to an Application Load Balancer (ALB). We'll use CodeDeploy for Blue/Green Deployment and automate deployment on git push with CodePipeline.

Built For Real World Use

This is an end-to-end course and its intended for real use. I have setup multiple startups on this exact configuration. If you are using Heroku, Linode or Digital Ocean and are thinking of moving over to AWS but wanted the course that's going to help you move over as fast as possible than this is the course for you.

Automated Deployment It was important that I show you how to setup automatic deployment on git push so you have the same productivity as you would with Heroku.

AWS Services Covered VPC, Route Tables, Subnets, IGW
EC2
S3
IAM
RDS
Auto Scaling Groups
Application Load Balancer
Systems Manager
CodeDeploy
CodePipeline


AWS Certification Seekers
If you are studying for the SysOps Associate or the DevOps Professional this course is going to help you gain the practical knowledge around Auto Scaling Groups and Load Balancing and Blue/Green deployment.

What you'll learn

Setting up your AWS Network
Creating RDS Postgres Database
Configure, Launch and SSH into EC2
Provision Ruby on Rails For Production
Create an Amazon Machine Image
Setup an Auto Scaling Group
Setup an Application Load Balancer
Blue/Green deployment via CodeDeploy
Automatic Deployment via CodePipeline

Requirements

You need to have a Free Github Account
You need to have basic knowledge of Terminal or Powershell
You need to be able to clone a git repo to your local machine
You need very basic knowledge of any scripting language
Ruby on Rails knowledge is not required
You need your own AWS Account
You need to have basic knowledge of Terminal or Powershell

02_05. Create a Route Table

This course jumps straight into showing you the exact steps you'll need to setup the infrastructure to deploy a web-application into production using Blue/Green deployment.

I have built an example web-application in Ruby on Rails tuned for production which we'll use to provision an EC2 instance, then bake instance to Amazon Machine Image (AMI). We'll then use that AMI in a Launch Configuration and Create an Auto Scaling Group (ASG). We'll than tie our ASG to an Application Load Balancer (ALB). We'll use CodeDeploy for Blue/Green Deployment and automate deployment on git push with CodePipeline.

Built For Real World Use

This is an end-to-end course and its intended for real use. I have setup multiple startups on this exact configuration. If you are using Heroku, Linode or Digital Ocean and are thinking of moving over to AWS but wanted the course that's going to help you move over as fast as possible than this is the course for you.

Automated Deployment It was important that I show you how to setup automatic deployment on git push so you have the same productivity as you would with Heroku.

AWS Services Covered VPC, Route Tables, Subnets, IGW
EC2
S3
IAM
RDS
Auto Scaling Groups
Application Load Balancer
Systems Manager
CodeDeploy
CodePipeline


AWS Certification Seekers
If you are studying for the SysOps Associate or the DevOps Professional this course is going to help you gain the practical knowledge around Auto Scaling Groups and Load Balancing and Blue/Green deployment.

What you'll learn

Setting up your AWS Network
Creating RDS Postgres Database
Configure, Launch and SSH into EC2
Provision Ruby on Rails For Production
Create an Amazon Machine Image
Setup an Auto Scaling Group
Setup an Application Load Balancer
Blue/Green deployment via CodeDeploy
Automatic Deployment via CodePipeline

Requirements

You need to have a Free Github Account
You need to have basic knowledge of Terminal or Powershell
You need to be able to clone a git repo to your local machine
You need very basic knowledge of any scripting language
Ruby on Rails knowledge is not required
You need your own AWS Account
You need to have basic knowledge of Terminal or Powershell

02_06. Explicitly Associate Subnet to Route Table

This course jumps straight into showing you the exact steps you'll need to setup the infrastructure to deploy a web-application into production using Blue/Green deployment.

I have built an example web-application in Ruby on Rails tuned for production which we'll use to provision an EC2 instance, then bake instance to Amazon Machine Image (AMI). We'll then use that AMI in a Launch Configuration and Create an Auto Scaling Group (ASG). We'll than tie our ASG to an Application Load Balancer (ALB). We'll use CodeDeploy for Blue/Green Deployment and automate deployment on git push with CodePipeline.

Built For Real World Use

This is an end-to-end course and its intended for real use. I have setup multiple startups on this exact configuration. If you are using Heroku, Linode or Digital Ocean and are thinking of moving over to AWS but wanted the course that's going to help you move over as fast as possible than this is the course for you.

Automated Deployment It was important that I show you how to setup automatic deployment on git push so you have the same productivity as you would with Heroku.

AWS Services Covered VPC, Route Tables, Subnets, IGW
EC2
S3
IAM
RDS
Auto Scaling Groups
Application Load Balancer
Systems Manager
CodeDeploy
CodePipeline


AWS Certification Seekers
If you are studying for the SysOps Associate or the DevOps Professional this course is going to help you gain the practical knowledge around Auto Scaling Groups and Load Balancing and Blue/Green deployment.

What you'll learn

Setting up your AWS Network
Creating RDS Postgres Database
Configure, Launch and SSH into EC2
Provision Ruby on Rails For Production
Create an Amazon Machine Image
Setup an Auto Scaling Group
Setup an Application Load Balancer
Blue/Green deployment via CodeDeploy
Automatic Deployment via CodePipeline

Requirements

You need to have a Free Github Account
You need to have basic knowledge of Terminal or Powershell
You need to be able to clone a git repo to your local machine
You need very basic knowledge of any scripting language
Ruby on Rails knowledge is not required
You need your own AWS Account
You need to have basic knowledge of Terminal or Powershell

02_07. Connecting IGW to Route Table

This course jumps straight into showing you the exact steps you'll need to setup the infrastructure to deploy a web-application into production using Blue/Green deployment.

I have built an example web-application in Ruby on Rails tuned for production which we'll use to provision an EC2 instance, then bake instance to Amazon Machine Image (AMI). We'll then use that AMI in a Launch Configuration and Create an Auto Scaling Group (ASG). We'll than tie our ASG to an Application Load Balancer (ALB). We'll use CodeDeploy for Blue/Green Deployment and automate deployment on git push with CodePipeline.

Built For Real World Use

This is an end-to-end course and its intended for real use. I have setup multiple startups on this exact configuration. If you are using Heroku, Linode or Digital Ocean and are thinking of moving over to AWS but wanted the course that's going to help you move over as fast as possible than this is the course for you.

Automated Deployment It was important that I show you how to setup automatic deployment on git push so you have the same productivity as you would with Heroku.

AWS Services Covered VPC, Route Tables, Subnets, IGW
EC2
S3
IAM
RDS
Auto Scaling Groups
Application Load Balancer
Systems Manager
CodeDeploy
CodePipeline


AWS Certification Seekers
If you are studying for the SysOps Associate or the DevOps Professional this course is going to help you gain the practical knowledge around Auto Scaling Groups and Load Balancing and Blue/Green deployment.

What you'll learn

Setting up your AWS Network
Creating RDS Postgres Database
Configure, Launch and SSH into EC2
Provision Ruby on Rails For Production
Create an Amazon Machine Image
Setup an Auto Scaling Group
Setup an Application Load Balancer
Blue/Green deployment via CodeDeploy
Automatic Deployment via CodePipeline

Requirements

You need to have a Free Github Account
You need to have basic knowledge of Terminal or Powershell
You need to be able to clone a git repo to your local machine
You need very basic knowledge of any scripting language
Ruby on Rails knowledge is not required
You need your own AWS Account
You need to have basic knowledge of Terminal or Powershell

03_01. Download TablePlus

This course jumps straight into showing you the exact steps you'll need to setup the infrastructure to deploy a web-application into production using Blue/Green deployment.

I have built an example web-application in Ruby on Rails tuned for production which we'll use to provision an EC2 instance, then bake instance to Amazon Machine Image (AMI). We'll then use that AMI in a Launch Configuration and Create an Auto Scaling Group (ASG). We'll than tie our ASG to an Application Load Balancer (ALB). We'll use CodeDeploy for Blue/Green Deployment and automate deployment on git push with CodePipeline.

Built For Real World Use

This is an end-to-end course and its intended for real use. I have setup multiple startups on this exact configuration. If you are using Heroku, Linode or Digital Ocean and are thinking of moving over to AWS but wanted the course that's going to help you move over as fast as possible than this is the course for you.

Automated Deployment It was important that I show you how to setup automatic deployment on git push so you have the same productivity as you would with Heroku.

AWS Services Covered VPC, Route Tables, Subnets, IGW
EC2
S3
IAM
RDS
Auto Scaling Groups
Application Load Balancer
Systems Manager
CodeDeploy
CodePipeline


AWS Certification Seekers
If you are studying for the SysOps Associate or the DevOps Professional this course is going to help you gain the practical knowledge around Auto Scaling Groups and Load Balancing and Blue/Green deployment.

What you'll learn

Setting up your AWS Network
Creating RDS Postgres Database
Configure, Launch and SSH into EC2
Provision Ruby on Rails For Production
Create an Amazon Machine Image
Setup an Auto Scaling Group
Setup an Application Load Balancer
Blue/Green deployment via CodeDeploy
Automatic Deployment via CodePipeline

Requirements

You need to have a Free Github Account
You need to have basic knowledge of Terminal or Powershell
You need to be able to clone a git repo to your local machine
You need very basic knowledge of any scripting language
Ruby on Rails knowledge is not required
You need your own AWS Account
You need to have basic knowledge of Terminal or Powershell

03_02. Create RDS Postgres Database

This course jumps straight into showing you the exact steps you'll need to setup the infrastructure to deploy a web-application into production using Blue/Green deployment.

I have built an example web-application in Ruby on Rails tuned for production which we'll use to provision an EC2 instance, then bake instance to Amazon Machine Image (AMI). We'll then use that AMI in a Launch Configuration and Create an Auto Scaling Group (ASG). We'll than tie our ASG to an Application Load Balancer (ALB). We'll use CodeDeploy for Blue/Green Deployment and automate deployment on git push with CodePipeline.

Built For Real World Use

This is an end-to-end course and its intended for real use. I have setup multiple startups on this exact configuration. If you are using Heroku, Linode or Digital Ocean and are thinking of moving over to AWS but wanted the course that's going to help you move over as fast as possible than this is the course for you.

Automated Deployment It was important that I show you how to setup automatic deployment on git push so you have the same productivity as you would with Heroku.

AWS Services Covered VPC, Route Tables, Subnets, IGW
EC2
S3
IAM
RDS
Auto Scaling Groups
Application Load Balancer
Systems Manager
CodeDeploy
CodePipeline


AWS Certification Seekers
If you are studying for the SysOps Associate or the DevOps Professional this course is going to help you gain the practical knowledge around Auto Scaling Groups and Load Balancing and Blue/Green deployment.

What you'll learn

Setting up your AWS Network
Creating RDS Postgres Database
Configure, Launch and SSH into EC2
Provision Ruby on Rails For Production
Create an Amazon Machine Image
Setup an Auto Scaling Group
Setup an Application Load Balancer
Blue/Green deployment via CodeDeploy
Automatic Deployment via CodePipeline

Requirements

You need to have a Free Github Account
You need to have basic knowledge of Terminal or Powershell
You need to be able to clone a git repo to your local machine
You need very basic knowledge of any scripting language
Ruby on Rails knowledge is not required
You need your own AWS Account
You need to have basic knowledge of Terminal or Powershell

03_03. Configure DB Security Group

This course jumps straight into showing you the exact steps you'll need to setup the infrastructure to deploy a web-application into production using Blue/Green deployment.

I have built an example web-application in Ruby on Rails tuned for production which we'll use to provision an EC2 instance, then bake instance to Amazon Machine Image (AMI). We'll then use that AMI in a Launch Configuration and Create an Auto Scaling Group (ASG). We'll than tie our ASG to an Application Load Balancer (ALB). We'll use CodeDeploy for Blue/Green Deployment and automate deployment on git push with CodePipeline.

Built For Real World Use

This is an end-to-end course and its intended for real use. I have setup multiple startups on this exact configuration. If you are using Heroku, Linode or Digital Ocean and are thinking of moving over to AWS but wanted the course that's going to help you move over as fast as possible than this is the course for you.

Automated Deployment It was important that I show you how to setup automatic deployment on git push so you have the same productivity as you would with Heroku.

AWS Services Covered VPC, Route Tables, Subnets, IGW
EC2
S3
IAM
RDS
Auto Scaling Groups
Application Load Balancer
Systems Manager
CodeDeploy
CodePipeline


AWS Certification Seekers
If you are studying for the SysOps Associate or the DevOps Professional this course is going to help you gain the practical knowledge around Auto Scaling Groups and Load Balancing and Blue/Green deployment.

What you'll learn

Setting up your AWS Network
Creating RDS Postgres Database
Configure, Launch and SSH into EC2
Provision Ruby on Rails For Production
Create an Amazon Machine Image
Setup an Auto Scaling Group
Setup an Application Load Balancer
Blue/Green deployment via CodeDeploy
Automatic Deployment via CodePipeline

Requirements

You need to have a Free Github Account
You need to have basic knowledge of Terminal or Powershell
You need to be able to clone a git repo to your local machine
You need very basic knowledge of any scripting language
Ruby on Rails knowledge is not required
You need your own AWS Account
You need to have basic knowledge of Terminal or Powershell

03_04. Connect TablePlus to RDS

This course jumps straight into showing you the exact steps you'll need to setup the infrastructure to deploy a web-application into production using Blue/Green deployment.

I have built an example web-application in Ruby on Rails tuned for production which we'll use to provision an EC2 instance, then bake instance to Amazon Machine Image (AMI). We'll then use that AMI in a Launch Configuration and Create an Auto Scaling Group (ASG). We'll than tie our ASG to an Application Load Balancer (ALB). We'll use CodeDeploy for Blue/Green Deployment and automate deployment on git push with CodePipeline.

Built For Real World Use

This is an end-to-end course and its intended for real use. I have setup multiple startups on this exact configuration. If you are using Heroku, Linode or Digital Ocean and are thinking of moving over to AWS but wanted the course that's going to help you move over as fast as possible than this is the course for you.

Automated Deployment It was important that I show you how to setup automatic deployment on git push so you have the same productivity as you would with Heroku.

AWS Services Covered VPC, Route Tables, Subnets, IGW
EC2
S3
IAM
RDS
Auto Scaling Groups
Application Load Balancer
Systems Manager
CodeDeploy
CodePipeline


AWS Certification Seekers
If you are studying for the SysOps Associate or the DevOps Professional this course is going to help you gain the practical knowledge around Auto Scaling Groups and Load Balancing and Blue/Green deployment.

What you'll learn

Setting up your AWS Network
Creating RDS Postgres Database
Configure, Launch and SSH into EC2
Provision Ruby on Rails For Production
Create an Amazon Machine Image
Setup an Auto Scaling Group
Setup an Application Load Balancer
Blue/Green deployment via CodeDeploy
Automatic Deployment via CodePipeline

Requirements

You need to have a Free Github Account
You need to have basic knowledge of Terminal or Powershell
You need to be able to clone a git repo to your local machine
You need very basic knowledge of any scripting language
Ruby on Rails knowledge is not required
You need your own AWS Account
You need to have basic knowledge of Terminal or Powershell

04_01. Create AMIWebServer Role

This course jumps straight into showing you the exact steps you'll need to setup the infrastructure to deploy a web-application into production using Blue/Green deployment.

I have built an example web-application in Ruby on Rails tuned for production which we'll use to provision an EC2 instance, then bake instance to Amazon Machine Image (AMI). We'll then use that AMI in a Launch Configuration and Create an Auto Scaling Group (ASG). We'll than tie our ASG to an Application Load Balancer (ALB). We'll use CodeDeploy for Blue/Green Deployment and automate deployment on git push with CodePipeline.

Built For Real World Use

This is an end-to-end course and its intended for real use. I have setup multiple startups on this exact configuration. If you are using Heroku, Linode or Digital Ocean and are thinking of moving over to AWS but wanted the course that's going to help you move over as fast as possible than this is the course for you.

Automated Deployment It was important that I show you how to setup automatic deployment on git push so you have the same productivity as you would with Heroku.

AWS Services Covered VPC, Route Tables, Subnets, IGW
EC2
S3
IAM
RDS
Auto Scaling Groups
Application Load Balancer
Systems Manager
CodeDeploy
CodePipeline


AWS Certification Seekers
If you are studying for the SysOps Associate or the DevOps Professional this course is going to help you gain the practical knowledge around Auto Scaling Groups and Load Balancing and Blue/Green deployment.

What you'll learn

Setting up your AWS Network
Creating RDS Postgres Database
Configure, Launch and SSH into EC2
Provision Ruby on Rails For Production
Create an Amazon Machine Image
Setup an Auto Scaling Group
Setup an Application Load Balancer
Blue/Green deployment via CodeDeploy
Automatic Deployment via CodePipeline

Requirements

You need to have a Free Github Account
You need to have basic knowledge of Terminal or Powershell
You need to be able to clone a git repo to your local machine
You need very basic knowledge of any scripting language
Ruby on Rails knowledge is not required
You need your own AWS Account
You need to have basic knowledge of Terminal or Powershell

04_02. Choosing an AMI

This course jumps straight into showing you the exact steps you'll need to setup the infrastructure to deploy a web-application into production using Blue/Green deployment.

I have built an example web-application in Ruby on Rails tuned for production which we'll use to provision an EC2 instance, then bake instance to Amazon Machine Image (AMI). We'll then use that AMI in a Launch Configuration and Create an Auto Scaling Group (ASG). We'll than tie our ASG to an Application Load Balancer (ALB). We'll use CodeDeploy for Blue/Green Deployment and automate deployment on git push with CodePipeline.

Built For Real World Use

This is an end-to-end course and its intended for real use. I have setup multiple startups on this exact configuration. If you are using Heroku, Linode or Digital Ocean and are thinking of moving over to AWS but wanted the course that's going to help you move over as fast as possible than this is the course for you.

Automated Deployment It was important that I show you how to setup automatic deployment on git push so you have the same productivity as you would with Heroku.

AWS Services Covered VPC, Route Tables, Subnets, IGW
EC2
S3
IAM
RDS
Auto Scaling Groups
Application Load Balancer
Systems Manager
CodeDeploy
CodePipeline


AWS Certification Seekers
If you are studying for the SysOps Associate or the DevOps Professional this course is going to help you gain the practical knowledge around Auto Scaling Groups and Load Balancing and Blue/Green deployment.

What you'll learn

Setting up your AWS Network
Creating RDS Postgres Database
Configure, Launch and SSH into EC2
Provision Ruby on Rails For Production
Create an Amazon Machine Image
Setup an Auto Scaling Group
Setup an Application Load Balancer
Blue/Green deployment via CodeDeploy
Automatic Deployment via CodePipeline

Requirements

You need to have a Free Github Account
You need to have basic knowledge of Terminal or Powershell
You need to be able to clone a git repo to your local machine
You need very basic knowledge of any scripting language
Ruby on Rails knowledge is not required
You need your own AWS Account
You need to have basic knowledge of Terminal or Powershell

04_03. Choose Instance Type

This course jumps straight into showing you the exact steps you'll need to setup the infrastructure to deploy a web-application into production using Blue/Green deployment.

I have built an example web-application in Ruby on Rails tuned for production which we'll use to provision an EC2 instance, then bake instance to Amazon Machine Image (AMI). We'll then use that AMI in a Launch Configuration and Create an Auto Scaling Group (ASG). We'll than tie our ASG to an Application Load Balancer (ALB). We'll use CodeDeploy for Blue/Green Deployment and automate deployment on git push with CodePipeline.

Built For Real World Use

This is an end-to-end course and its intended for real use. I have setup multiple startups on this exact configuration. If you are using Heroku, Linode or Digital Ocean and are thinking of moving over to AWS but wanted the course that's going to help you move over as fast as possible than this is the course for you.

Automated Deployment It was important that I show you how to setup automatic deployment on git push so you have the same productivity as you would with Heroku.

AWS Services Covered VPC, Route Tables, Subnets, IGW
EC2
S3
IAM
RDS
Auto Scaling Groups
Application Load Balancer
Systems Manager
CodeDeploy
CodePipeline


AWS Certification Seekers
If you are studying for the SysOps Associate or the DevOps Professional this course is going to help you gain the practical knowledge around Auto Scaling Groups and Load Balancing and Blue/Green deployment.

What you'll learn

Setting up your AWS Network
Creating RDS Postgres Database
Configure, Launch and SSH into EC2
Provision Ruby on Rails For Production
Create an Amazon Machine Image
Setup an Auto Scaling Group
Setup an Application Load Balancer
Blue/Green deployment via CodeDeploy
Automatic Deployment via CodePipeline

Requirements

You need to have a Free Github Account
You need to have basic knowledge of Terminal or Powershell
You need to be able to clone a git repo to your local machine
You need very basic knowledge of any scripting language
Ruby on Rails knowledge is not required
You need your own AWS Account
You need to have basic knowledge of Terminal or Powershell

04_04. Configure an Instance

This course jumps straight into showing you the exact steps you'll need to setup the infrastructure to deploy a web-application into production using Blue/Green deployment.

I have built an example web-application in Ruby on Rails tuned for production which we'll use to provision an EC2 instance, then bake instance to Amazon Machine Image (AMI). We'll then use that AMI in a Launch Configuration and Create an Auto Scaling Group (ASG). We'll than tie our ASG to an Application Load Balancer (ALB). We'll use CodeDeploy for Blue/Green Deployment and automate deployment on git push with CodePipeline.

Built For Real World Use

This is an end-to-end course and its intended for real use. I have setup multiple startups on this exact configuration. If you are using Heroku, Linode or Digital Ocean and are thinking of moving over to AWS but wanted the course that's going to help you move over as fast as possible than this is the course for you.

Automated Deployment It was important that I show you how to setup automatic deployment on git push so you have the same productivity as you would with Heroku.

AWS Services Covered VPC, Route Tables, Subnets, IGW
EC2
S3
IAM
RDS
Auto Scaling Groups
Application Load Balancer
Systems Manager
CodeDeploy
CodePipeline


AWS Certification Seekers
If you are studying for the SysOps Associate or the DevOps Professional this course is going to help you gain the practical knowledge around Auto Scaling Groups and Load Balancing and Blue/Green deployment.

What you'll learn

Setting up your AWS Network
Creating RDS Postgres Database
Configure, Launch and SSH into EC2
Provision Ruby on Rails For Production
Create an Amazon Machine Image
Setup an Auto Scaling Group
Setup an Application Load Balancer
Blue/Green deployment via CodeDeploy
Automatic Deployment via CodePipeline

Requirements

You need to have a Free Github Account
You need to have basic knowledge of Terminal or Powershell
You need to be able to clone a git repo to your local machine
You need very basic knowledge of any scripting language
Ruby on Rails knowledge is not required
You need your own AWS Account
You need to have basic knowledge of Terminal or Powershell

04_05. Add Storage

This course jumps straight into showing you the exact steps you'll need to setup the infrastructure to deploy a web-application into production using Blue/Green deployment.

I have built an example web-application in Ruby on Rails tuned for production which we'll use to provision an EC2 instance, then bake instance to Amazon Machine Image (AMI). We'll then use that AMI in a Launch Configuration and Create an Auto Scaling Group (ASG). We'll than tie our ASG to an Application Load Balancer (ALB). We'll use CodeDeploy for Blue/Green Deployment and automate deployment on git push with CodePipeline.

Built For Real World Use

This is an end-to-end course and its intended for real use. I have setup multiple startups on this exact configuration. If you are using Heroku, Linode or Digital Ocean and are thinking of moving over to AWS but wanted the course that's going to help you move over as fast as possible than this is the course for you.

Automated Deployment It was important that I show you how to setup automatic deployment on git push so you have the same productivity as you would with Heroku.

AWS Services Covered VPC, Route Tables, Subnets, IGW
EC2
S3
IAM
RDS
Auto Scaling Groups
Application Load Balancer
Systems Manager
CodeDeploy
CodePipeline


AWS Certification Seekers
If you are studying for the SysOps Associate or the DevOps Professional this course is going to help you gain the practical knowledge around Auto Scaling Groups and Load Balancing and Blue/Green deployment.

What you'll learn

Setting up your AWS Network
Creating RDS Postgres Database
Configure, Launch and SSH into EC2
Provision Ruby on Rails For Production
Create an Amazon Machine Image
Setup an Auto Scaling Group
Setup an Application Load Balancer
Blue/Green deployment via CodeDeploy
Automatic Deployment via CodePipeline

Requirements

You need to have a Free Github Account
You need to have basic knowledge of Terminal or Powershell
You need to be able to clone a git repo to your local machine
You need very basic knowledge of any scripting language
Ruby on Rails knowledge is not required
You need your own AWS Account
You need to have basic knowledge of Terminal or Powershell

04_06. Configure Security Group

This course jumps straight into showing you the exact steps you'll need to setup the infrastructure to deploy a web-application into production using Blue/Green deployment.

I have built an example web-application in Ruby on Rails tuned for production which we'll use to provision an EC2 instance, then bake instance to Amazon Machine Image (AMI). We'll then use that AMI in a Launch Configuration and Create an Auto Scaling Group (ASG). We'll than tie our ASG to an Application Load Balancer (ALB). We'll use CodeDeploy for Blue/Green Deployment and automate deployment on git push with CodePipeline.

Built For Real World Use

This is an end-to-end course and its intended for real use. I have setup multiple startups on this exact configuration. If you are using Heroku, Linode or Digital Ocean and are thinking of moving over to AWS but wanted the course that's going to help you move over as fast as possible than this is the course for you.

Automated Deployment It was important that I show you how to setup automatic deployment on git push so you have the same productivity as you would with Heroku.

AWS Services Covered VPC, Route Tables, Subnets, IGW
EC2
S3
IAM
RDS
Auto Scaling Groups
Application Load Balancer
Systems Manager
CodeDeploy
CodePipeline


AWS Certification Seekers
If you are studying for the SysOps Associate or the DevOps Professional this course is going to help you gain the practical knowledge around Auto Scaling Groups and Load Balancing and Blue/Green deployment.

What you'll learn

Setting up your AWS Network
Creating RDS Postgres Database
Configure, Launch and SSH into EC2
Provision Ruby on Rails For Production
Create an Amazon Machine Image
Setup an Auto Scaling Group
Setup an Application Load Balancer
Blue/Green deployment via CodeDeploy
Automatic Deployment via CodePipeline

Requirements

You need to have a Free Github Account
You need to have basic knowledge of Terminal or Powershell
You need to be able to clone a git repo to your local machine
You need very basic knowledge of any scripting language
Ruby on Rails knowledge is not required
You need your own AWS Account
You need to have basic knowledge of Terminal or Powershell

04_07. Create and Download Key Pair

This course jumps straight into showing you the exact steps you'll need to setup the infrastructure to deploy a web-application into production using Blue/Green deployment.

I have built an example web-application in Ruby on Rails tuned for production which we'll use to provision an EC2 instance, then bake instance to Amazon Machine Image (AMI). We'll then use that AMI in a Launch Configuration and Create an Auto Scaling Group (ASG). We'll than tie our ASG to an Application Load Balancer (ALB). We'll use CodeDeploy for Blue/Green Deployment and automate deployment on git push with CodePipeline.

Built For Real World Use

This is an end-to-end course and its intended for real use. I have setup multiple startups on this exact configuration. If you are using Heroku, Linode or Digital Ocean and are thinking of moving over to AWS but wanted the course that's going to help you move over as fast as possible than this is the course for you.

Automated Deployment It was important that I show you how to setup automatic deployment on git push so you have the same productivity as you would with Heroku.

AWS Services Covered VPC, Route Tables, Subnets, IGW
EC2
S3
IAM
RDS
Auto Scaling Groups
Application Load Balancer
Systems Manager
CodeDeploy
CodePipeline


AWS Certification Seekers
If you are studying for the SysOps Associate or the DevOps Professional this course is going to help you gain the practical knowledge around Auto Scaling Groups and Load Balancing and Blue/Green deployment.

What you'll learn

Setting up your AWS Network
Creating RDS Postgres Database
Configure, Launch and SSH into EC2
Provision Ruby on Rails For Production
Create an Amazon Machine Image
Setup an Auto Scaling Group
Setup an Application Load Balancer
Blue/Green deployment via CodeDeploy
Automatic Deployment via CodePipeline

Requirements

You need to have a Free Github Account
You need to have basic knowledge of Terminal or Powershell
You need to be able to clone a git repo to your local machine
You need very basic knowledge of any scripting language
Ruby on Rails knowledge is not required
You need your own AWS Account
You need to have basic knowledge of Terminal or Powershell

04_08. Health Checks and Watch Logs

This course jumps straight into showing you the exact steps you'll need to setup the infrastructure to deploy a web-application into production using Blue/Green deployment.

I have built an example web-application in Ruby on Rails tuned for production which we'll use to provision an EC2 instance, then bake instance to Amazon Machine Image (AMI). We'll then use that AMI in a Launch Configuration and Create an Auto Scaling Group (ASG). We'll than tie our ASG to an Application Load Balancer (ALB). We'll use CodeDeploy for Blue/Green Deployment and automate deployment on git push with CodePipeline.

Built For Real World Use

This is an end-to-end course and its intended for real use. I have setup multiple startups on this exact configuration. If you are using Heroku, Linode or Digital Ocean and are thinking of moving over to AWS but wanted the course that's going to help you move over as fast as possible than this is the course for you.

Automated Deployment It was important that I show you how to setup automatic deployment on git push so you have the same productivity as you would with Heroku.

AWS Services Covered VPC, Route Tables, Subnets, IGW
EC2
S3
IAM
RDS
Auto Scaling Groups
Application Load Balancer
Systems Manager
CodeDeploy
CodePipeline


AWS Certification Seekers
If you are studying for the SysOps Associate or the DevOps Professional this course is going to help you gain the practical knowledge around Auto Scaling Groups and Load Balancing and Blue/Green deployment.

What you'll learn

Setting up your AWS Network
Creating RDS Postgres Database
Configure, Launch and SSH into EC2
Provision Ruby on Rails For Production
Create an Amazon Machine Image
Setup an Auto Scaling Group
Setup an Application Load Balancer
Blue/Green deployment via CodeDeploy
Automatic Deployment via CodePipeline

Requirements

You need to have a Free Github Account
You need to have basic knowledge of Terminal or Powershell
You need to be able to clone a git repo to your local machine
You need very basic knowledge of any scripting language
Ruby on Rails knowledge is not required
You need your own AWS Account
You need to have basic knowledge of Terminal or Powershell

04_09. SSH with keypair via TerminalPowershell

This course jumps straight into showing you the exact steps you'll need to setup the infrastructure to deploy a web-application into production using Blue/Green deployment.

I have built an example web-application in Ruby on Rails tuned for production which we'll use to provision an EC2 instance, then bake instance to Amazon Machine Image (AMI). We'll then use that AMI in a Launch Configuration and Create an Auto Scaling Group (ASG). We'll than tie our ASG to an Application Load Balancer (ALB). We'll use CodeDeploy for Blue/Green Deployment and automate deployment on git push with CodePipeline.

Built For Real World Use

This is an end-to-end course and its intended for real use. I have setup multiple startups on this exact configuration. If you are using Heroku, Linode or Digital Ocean and are thinking of moving over to AWS but wanted the course that's going to help you move over as fast as possible than this is the course for you.

Automated Deployment It was important that I show you how to setup automatic deployment on git push so you have the same productivity as you would with Heroku.

AWS Services Covered VPC, Route Tables, Subnets, IGW
EC2
S3
IAM
RDS
Auto Scaling Groups
Application Load Balancer
Systems Manager
CodeDeploy
CodePipeline


AWS Certification Seekers
If you are studying for the SysOps Associate or the DevOps Professional this course is going to help you gain the practical knowledge around Auto Scaling Groups and Load Balancing and Blue/Green deployment.

What you'll learn

Setting up your AWS Network
Creating RDS Postgres Database
Configure, Launch and SSH into EC2
Provision Ruby on Rails For Production
Create an Amazon Machine Image
Setup an Auto Scaling Group
Setup an Application Load Balancer
Blue/Green deployment via CodeDeploy
Automatic Deployment via CodePipeline

Requirements

You need to have a Free Github Account
You need to have basic knowledge of Terminal or Powershell
You need to be able to clone a git repo to your local machine
You need very basic knowledge of any scripting language
Ruby on Rails knowledge is not required
You need your own AWS Account
You need to have basic knowledge of Terminal or Powershell

04_10. SSH via Systems Manager Sessions Manager

This course jumps straight into showing you the exact steps you'll need to setup the infrastructure to deploy a web-application into production using Blue/Green deployment.

I have built an example web-application in Ruby on Rails tuned for production which we'll use to provision an EC2 instance, then bake instance to Amazon Machine Image (AMI). We'll then use that AMI in a Launch Configuration and Create an Auto Scaling Group (ASG). We'll than tie our ASG to an Application Load Balancer (ALB). We'll use CodeDeploy for Blue/Green Deployment and automate deployment on git push with CodePipeline.

Built For Real World Use

This is an end-to-end course and its intended for real use. I have setup multiple startups on this exact configuration. If you are using Heroku, Linode or Digital Ocean and are thinking of moving over to AWS but wanted the course that's going to help you move over as fast as possible than this is the course for you.

Automated Deployment It was important that I show you how to setup automatic deployment on git push so you have the same productivity as you would with Heroku.

AWS Services Covered VPC, Route Tables, Subnets, IGW
EC2
S3
IAM
RDS
Auto Scaling Groups
Application Load Balancer
Systems Manager
CodeDeploy
CodePipeline


AWS Certification Seekers
If you are studying for the SysOps Associate or the DevOps Professional this course is going to help you gain the practical knowledge around Auto Scaling Groups and Load Balancing and Blue/Green deployment.

What you'll learn

Setting up your AWS Network
Creating RDS Postgres Database
Configure, Launch and SSH into EC2
Provision Ruby on Rails For Production
Create an Amazon Machine Image
Setup an Auto Scaling Group
Setup an Application Load Balancer
Blue/Green deployment via CodeDeploy
Automatic Deployment via CodePipeline

Requirements

You need to have a Free Github Account
You need to have basic knowledge of Terminal or Powershell
You need to be able to clone a git repo to your local machine
You need very basic knowledge of any scripting language
Ruby on Rails knowledge is not required
You need your own AWS Account
You need to have basic knowledge of Terminal or Powershell

05_01. Create Private Github Repo for Rails Example

This course jumps straight into showing you the exact steps you'll need to setup the infrastructure to deploy a web-application into production using Blue/Green deployment.

I have built an example web-application in Ruby on Rails tuned for production which we'll use to provision an EC2 instance, then bake instance to Amazon Machine Image (AMI). We'll then use that AMI in a Launch Configuration and Create an Auto Scaling Group (ASG). We'll than tie our ASG to an Application Load Balancer (ALB). We'll use CodeDeploy for Blue/Green Deployment and automate deployment on git push with CodePipeline.

Built For Real World Use

This is an end-to-end course and its intended for real use. I have setup multiple startups on this exact configuration. If you are using Heroku, Linode or Digital Ocean and are thinking of moving over to AWS but wanted the course that's going to help you move over as fast as possible than this is the course for you.

Automated Deployment It was important that I show you how to setup automatic deployment on git push so you have the same productivity as you would with Heroku.

AWS Services Covered VPC, Route Tables, Subnets, IGW
EC2
S3
IAM
RDS
Auto Scaling Groups
Application Load Balancer
Systems Manager
CodeDeploy
CodePipeline


AWS Certification Seekers
If you are studying for the SysOps Associate or the DevOps Professional this course is going to help you gain the practical knowledge around Auto Scaling Groups and Load Balancing and Blue/Green deployment.

What you'll learn

Setting up your AWS Network
Creating RDS Postgres Database
Configure, Launch and SSH into EC2
Provision Ruby on Rails For Production
Create an Amazon Machine Image
Setup an Auto Scaling Group
Setup an Application Load Balancer
Blue/Green deployment via CodeDeploy
Automatic Deployment via CodePipeline

Requirements

You need to have a Free Github Account
You need to have basic knowledge of Terminal or Powershell
You need to be able to clone a git repo to your local machine
You need very basic knowledge of any scripting language
Ruby on Rails knowledge is not required
You need your own AWS Account
You need to have basic knowledge of Terminal or Powershell

05_02. Generate Personal Access Token from Github

This course jumps straight into showing you the exact steps you'll need to setup the infrastructure to deploy a web-application into production using Blue/Green deployment.

I have built an example web-application in Ruby on Rails tuned for production which we'll use to provision an EC2 instance, then bake instance to Amazon Machine Image (AMI). We'll then use that AMI in a Launch Configuration and Create an Auto Scaling Group (ASG). We'll than tie our ASG to an Application Load Balancer (ALB). We'll use CodeDeploy for Blue/Green Deployment and automate deployment on git push with CodePipeline.

Built For Real World Use

This is an end-to-end course and its intended for real use. I have setup multiple startups on this exact configuration. If you are using Heroku, Linode or Digital Ocean and are thinking of moving over to AWS but wanted the course that's going to help you move over as fast as possible than this is the course for you.

Automated Deployment It was important that I show you how to setup automatic deployment on git push so you have the same productivity as you would with Heroku.

AWS Services Covered VPC, Route Tables, Subnets, IGW
EC2
S3
IAM
RDS
Auto Scaling Groups
Application Load Balancer
Systems Manager
CodeDeploy
CodePipeline


AWS Certification Seekers
If you are studying for the SysOps Associate or the DevOps Professional this course is going to help you gain the practical knowledge around Auto Scaling Groups and Load Balancing and Blue/Green deployment.

What you'll learn

Setting up your AWS Network
Creating RDS Postgres Database
Configure, Launch and SSH into EC2
Provision Ruby on Rails For Production
Create an Amazon Machine Image
Setup an Auto Scaling Group
Setup an Application Load Balancer
Blue/Green deployment via CodeDeploy
Automatic Deployment via CodePipeline

Requirements

You need to have a Free Github Account
You need to have basic knowledge of Terminal or Powershell
You need to be able to clone a git repo to your local machine
You need very basic knowledge of any scripting language
Ruby on Rails knowledge is not required
You need your own AWS Account
You need to have basic knowledge of Terminal or Powershell

05_03. Install RVM and Ruby

This course jumps straight into showing you the exact steps you'll need to setup the infrastructure to deploy a web-application into production using Blue/Green deployment.

I have built an example web-application in Ruby on Rails tuned for production which we'll use to provision an EC2 instance, then bake instance to Amazon Machine Image (AMI). We'll then use that AMI in a Launch Configuration and Create an Auto Scaling Group (ASG). We'll than tie our ASG to an Application Load Balancer (ALB). We'll use CodeDeploy for Blue/Green Deployment and automate deployment on git push with CodePipeline.

Built For Real World Use

This is an end-to-end course and its intended for real use. I have setup multiple startups on this exact configuration. If you are using Heroku, Linode or Digital Ocean and are thinking of moving over to AWS but wanted the course that's going to help you move over as fast as possible than this is the course for you.

Automated Deployment It was important that I show you how to setup automatic deployment on git push so you have the same productivity as you would with Heroku.

AWS Services Covered VPC, Route Tables, Subnets, IGW
EC2
S3
IAM
RDS
Auto Scaling Groups
Application Load Balancer
Systems Manager
CodeDeploy
CodePipeline


AWS Certification Seekers
If you are studying for the SysOps Associate or the DevOps Professional this course is going to help you gain the practical knowledge around Auto Scaling Groups and Load Balancing and Blue/Green deployment.

What you'll learn

Setting up your AWS Network
Creating RDS Postgres Database
Configure, Launch and SSH into EC2
Provision Ruby on Rails For Production
Create an Amazon Machine Image
Setup an Auto Scaling Group
Setup an Application Load Balancer
Blue/Green deployment via CodeDeploy
Automatic Deployment via CodePipeline

Requirements

You need to have a Free Github Account
You need to have basic knowledge of Terminal or Powershell
You need to be able to clone a git repo to your local machine
You need very basic knowledge of any scripting language
Ruby on Rails knowledge is not required
You need your own AWS Account
You need to have basic knowledge of Terminal or Powershell

05_03.1 user_data.txt

This course jumps straight into showing you the exact steps you'll need to setup the infrastructure to deploy a web-application into production using Blue/Green deployment.

I have built an example web-application in Ruby on Rails tuned for production which we'll use to provision an EC2 instance, then bake instance to Amazon Machine Image (AMI). We'll then use that AMI in a Launch Configuration and Create an Auto Scaling Group (ASG). We'll than tie our ASG to an Application Load Balancer (ALB). We'll use CodeDeploy for Blue/Green Deployment and automate deployment on git push with CodePipeline.

Built For Real World Use

This is an end-to-end course and its intended for real use. I have setup multiple startups on this exact configuration. If you are using Heroku, Linode or Digital Ocean and are thinking of moving over to AWS but wanted the course that's going to help you move over as fast as possible than this is the course for you.

Automated Deployment It was important that I show you how to setup automatic deployment on git push so you have the same productivity as you would with Heroku.

AWS Services Covered VPC, Route Tables, Subnets, IGW
EC2
S3
IAM
RDS
Auto Scaling Groups
Application Load Balancer
Systems Manager
CodeDeploy
CodePipeline


AWS Certification Seekers
If you are studying for the SysOps Associate or the DevOps Professional this course is going to help you gain the practical knowledge around Auto Scaling Groups and Load Balancing and Blue/Green deployment.

What you'll learn

Setting up your AWS Network
Creating RDS Postgres Database
Configure, Launch and SSH into EC2
Provision Ruby on Rails For Production
Create an Amazon Machine Image
Setup an Auto Scaling Group
Setup an Application Load Balancer
Blue/Green deployment via CodeDeploy
Automatic Deployment via CodePipeline

Requirements

You need to have a Free Github Account
You need to have basic knowledge of Terminal or Powershell
You need to be able to clone a git repo to your local machine
You need very basic knowledge of any scripting language
Ruby on Rails knowledge is not required
You need your own AWS Account
You need to have basic knowledge of Terminal or Powershell

05_04. Install CodeDeploy Agent, Postgres and then Bundle Install

This course jumps straight into showing you the exact steps you'll need to setup the infrastructure to deploy a web-application into production using Blue/Green deployment.

I have built an example web-application in Ruby on Rails tuned for production which we'll use to provision an EC2 instance, then bake instance to Amazon Machine Image (AMI). We'll then use that AMI in a Launch Configuration and Create an Auto Scaling Group (ASG). We'll than tie our ASG to an Application Load Balancer (ALB). We'll use CodeDeploy for Blue/Green Deployment and automate deployment on git push with CodePipeline.

Built For Real World Use

This is an end-to-end course and its intended for real use. I have setup multiple startups on this exact configuration. If you are using Heroku, Linode or Digital Ocean and are thinking of moving over to AWS but wanted the course that's going to help you move over as fast as possible than this is the course for you.

Automated Deployment It was important that I show you how to setup automatic deployment on git push so you have the same productivity as you would with Heroku.

AWS Services Covered VPC, Route Tables, Subnets, IGW
EC2
S3
IAM
RDS
Auto Scaling Groups
Application Load Balancer
Systems Manager
CodeDeploy
CodePipeline


AWS Certification Seekers
If you are studying for the SysOps Associate or the DevOps Professional this course is going to help you gain the practical knowledge around Auto Scaling Groups and Load Balancing and Blue/Green deployment.

What you'll learn

Setting up your AWS Network
Creating RDS Postgres Database
Configure, Launch and SSH into EC2
Provision Ruby on Rails For Production
Create an Amazon Machine Image
Setup an Auto Scaling Group
Setup an Application Load Balancer
Blue/Green deployment via CodeDeploy
Automatic Deployment via CodePipeline

Requirements

You need to have a Free Github Account
You need to have basic knowledge of Terminal or Powershell
You need to be able to clone a git repo to your local machine
You need very basic knowledge of any scripting language
Ruby on Rails knowledge is not required
You need your own AWS Account
You need to have basic knowledge of Terminal or Powershell

05_05. Configure and Start Rails

This course jumps straight into showing you the exact steps you'll need to setup the infrastructure to deploy a web-application into production using Blue/Green deployment.

I have built an example web-application in Ruby on Rails tuned for production which we'll use to provision an EC2 instance, then bake instance to Amazon Machine Image (AMI). We'll then use that AMI in a Launch Configuration and Create an Auto Scaling Group (ASG). We'll than tie our ASG to an Application Load Balancer (ALB). We'll use CodeDeploy for Blue/Green Deployment and automate deployment on git push with CodePipeline.

Built For Real World Use

This is an end-to-end course and its intended for real use. I have setup multiple startups on this exact configuration. If you are using Heroku, Linode or Digital Ocean and are thinking of moving over to AWS but wanted the course that's going to help you move over as fast as possible than this is the course for you.

Automated Deployment It was important that I show you how to setup automatic deployment on git push so you have the same productivity as you would with Heroku.

AWS Services Covered VPC, Route Tables, Subnets, IGW
EC2
S3
IAM
RDS
Auto Scaling Groups
Application Load Balancer
Systems Manager
CodeDeploy
CodePipeline


AWS Certification Seekers
If you are studying for the SysOps Associate or the DevOps Professional this course is going to help you gain the practical knowledge around Auto Scaling Groups and Load Balancing and Blue/Green deployment.

What you'll learn

Setting up your AWS Network
Creating RDS Postgres Database
Configure, Launch and SSH into EC2
Provision Ruby on Rails For Production
Create an Amazon Machine Image
Setup an Auto Scaling Group
Setup an Application Load Balancer
Blue/Green deployment via CodeDeploy
Automatic Deployment via CodePipeline

Requirements

You need to have a Free Github Account
You need to have basic knowledge of Terminal or Powershell
You need to be able to clone a git repo to your local machine
You need very basic knowledge of any scripting language
Ruby on Rails knowledge is not required
You need your own AWS Account
You need to have basic knowledge of Terminal or Powershell

05_06. Update RDS Security Group to Allow Access to EC2 Instance

This course jumps straight into showing you the exact steps you'll need to setup the infrastructure to deploy a web-application into production using Blue/Green deployment.

I have built an example web-application in Ruby on Rails tuned for production which we'll use to provision an EC2 instance, then bake instance to Amazon Machine Image (AMI). We'll then use that AMI in a Launch Configuration and Create an Auto Scaling Group (ASG). We'll than tie our ASG to an Application Load Balancer (ALB). We'll use CodeDeploy for Blue/Green Deployment and automate deployment on git push with CodePipeline.

Built For Real World Use

This is an end-to-end course and its intended for real use. I have setup multiple startups on this exact configuration. If you are using Heroku, Linode or Digital Ocean and are thinking of moving over to AWS but wanted the course that's going to help you move over as fast as possible than this is the course for you.

Automated Deployment It was important that I show you how to setup automatic deployment on git push so you have the same productivity as you would with Heroku.

AWS Services Covered VPC, Route Tables, Subnets, IGW
EC2
S3
IAM
RDS
Auto Scaling Groups
Application Load Balancer
Systems Manager
CodeDeploy
CodePipeline


AWS Certification Seekers
If you are studying for the SysOps Associate or the DevOps Professional this course is going to help you gain the practical knowledge around Auto Scaling Groups and Load Balancing and Blue/Green deployment.

What you'll learn

Setting up your AWS Network
Creating RDS Postgres Database
Configure, Launch and SSH into EC2
Provision Ruby on Rails For Production
Create an Amazon Machine Image
Setup an Auto Scaling Group
Setup an Application Load Balancer
Blue/Green deployment via CodeDeploy
Automatic Deployment via CodePipeline

Requirements

You need to have a Free Github Account
You need to have basic knowledge of Terminal or Powershell
You need to be able to clone a git repo to your local machine
You need very basic knowledge of any scripting language
Ruby on Rails knowledge is not required
You need your own AWS Account
You need to have basic knowledge of Terminal or Powershell

05_07. Migrate Rails Database

This course jumps straight into showing you the exact steps you'll need to setup the infrastructure to deploy a web-application into production using Blue/Green deployment.

I have built an example web-application in Ruby on Rails tuned for production which we'll use to provision an EC2 instance, then bake instance to Amazon Machine Image (AMI). We'll then use that AMI in a Launch Configuration and Create an Auto Scaling Group (ASG). We'll than tie our ASG to an Application Load Balancer (ALB). We'll use CodeDeploy for Blue/Green Deployment and automate deployment on git push with CodePipeline.

Built For Real World Use

This is an end-to-end course and its intended for real use. I have setup multiple startups on this exact configuration. If you are using Heroku, Linode or Digital Ocean and are thinking of moving over to AWS but wanted the course that's going to help you move over as fast as possible than this is the course for you.

Automated Deployment It was important that I show you how to setup automatic deployment on git push so you have the same productivity as you would with Heroku.

AWS Services Covered VPC, Route Tables, Subnets, IGW
EC2
S3
IAM
RDS
Auto Scaling Groups
Application Load Balancer
Systems Manager
CodeDeploy
CodePipeline


AWS Certification Seekers
If you are studying for the SysOps Associate or the DevOps Professional this course is going to help you gain the practical knowledge around Auto Scaling Groups and Load Balancing and Blue/Green deployment.

What you'll learn

Setting up your AWS Network
Creating RDS Postgres Database
Configure, Launch and SSH into EC2
Provision Ruby on Rails For Production
Create an Amazon Machine Image
Setup an Auto Scaling Group
Setup an Application Load Balancer
Blue/Green deployment via CodeDeploy
Automatic Deployment via CodePipeline

Requirements

You need to have a Free Github Account
You need to have basic knowledge of Terminal or Powershell
You need to be able to clone a git repo to your local machine
You need very basic knowledge of any scripting language
Ruby on Rails knowledge is not required
You need your own AWS Account
You need to have basic knowledge of Terminal or Powershell

05_08. Create Puma Service

This course jumps straight into showing you the exact steps you'll need to setup the infrastructure to deploy a web-application into production using Blue/Green deployment.

I have built an example web-application in Ruby on Rails tuned for production which we'll use to provision an EC2 instance, then bake instance to Amazon Machine Image (AMI). We'll then use that AMI in a Launch Configuration and Create an Auto Scaling Group (ASG). We'll than tie our ASG to an Application Load Balancer (ALB). We'll use CodeDeploy for Blue/Green Deployment and automate deployment on git push with CodePipeline.

Built For Real World Use

This is an end-to-end course and its intended for real use. I have setup multiple startups on this exact configuration. If you are using Heroku, Linode or Digital Ocean and are thinking of moving over to AWS but wanted the course that's going to help you move over as fast as possible than this is the course for you.

Automated Deployment It was important that I show you how to setup automatic deployment on git push so you have the same productivity as you would with Heroku.

AWS Services Covered VPC, Route Tables, Subnets, IGW
EC2
S3
IAM
RDS
Auto Scaling Groups
Application Load Balancer
Systems Manager
CodeDeploy
CodePipeline


AWS Certification Seekers
If you are studying for the SysOps Associate or the DevOps Professional this course is going to help you gain the practical knowledge around Auto Scaling Groups and Load Balancing and Blue/Green deployment.

What you'll learn

Setting up your AWS Network
Creating RDS Postgres Database
Configure, Launch and SSH into EC2
Provision Ruby on Rails For Production
Create an Amazon Machine Image
Setup an Auto Scaling Group
Setup an Application Load Balancer
Blue/Green deployment via CodeDeploy
Automatic Deployment via CodePipeline

Requirements

You need to have a Free Github Account
You need to have basic knowledge of Terminal or Powershell
You need to be able to clone a git repo to your local machine
You need very basic knowledge of any scripting language
Ruby on Rails knowledge is not required
You need your own AWS Account
You need to have basic knowledge of Terminal or Powershell

06_01. Snapshot AMI

This course jumps straight into showing you the exact steps you'll need to setup the infrastructure to deploy a web-application into production using Blue/Green deployment.

I have built an example web-application in Ruby on Rails tuned for production which we'll use to provision an EC2 instance, then bake instance to Amazon Machine Image (AMI). We'll then use that AMI in a Launch Configuration and Create an Auto Scaling Group (ASG). We'll than tie our ASG to an Application Load Balancer (ALB). We'll use CodeDeploy for Blue/Green Deployment and automate deployment on git push with CodePipeline.

Built For Real World Use

This is an end-to-end course and its intended for real use. I have setup multiple startups on this exact configuration. If you are using Heroku, Linode or Digital Ocean and are thinking of moving over to AWS but wanted the course that's going to help you move over as fast as possible than this is the course for you.

Automated Deployment It was important that I show you how to setup automatic deployment on git push so you have the same productivity as you would with Heroku.

AWS Services Covered VPC, Route Tables, Subnets, IGW
EC2
S3
IAM
RDS
Auto Scaling Groups
Application Load Balancer
Systems Manager
CodeDeploy
CodePipeline


AWS Certification Seekers
If you are studying for the SysOps Associate or the DevOps Professional this course is going to help you gain the practical knowledge around Auto Scaling Groups and Load Balancing and Blue/Green deployment.

What you'll learn

Setting up your AWS Network
Creating RDS Postgres Database
Configure, Launch and SSH into EC2
Provision Ruby on Rails For Production
Create an Amazon Machine Image
Setup an Auto Scaling Group
Setup an Application Load Balancer
Blue/Green deployment via CodeDeploy
Automatic Deployment via CodePipeline

Requirements

You need to have a Free Github Account
You need to have basic knowledge of Terminal or Powershell
You need to be able to clone a git repo to your local machine
You need very basic knowledge of any scripting language
Ruby on Rails knowledge is not required
You need your own AWS Account
You need to have basic knowledge of Terminal or Powershell

06_02. Stop AMI Instance

This course jumps straight into showing you the exact steps you'll need to setup the infrastructure to deploy a web-application into production using Blue/Green deployment.

I have built an example web-application in Ruby on Rails tuned for production which we'll use to provision an EC2 instance, then bake instance to Amazon Machine Image (AMI). We'll then use that AMI in a Launch Configuration and Create an Auto Scaling Group (ASG). We'll than tie our ASG to an Application Load Balancer (ALB). We'll use CodeDeploy for Blue/Green Deployment and automate deployment on git push with CodePipeline.

Built For Real World Use

This is an end-to-end course and its intended for real use. I have setup multiple startups on this exact configuration. If you are using Heroku, Linode or Digital Ocean and are thinking of moving over to AWS but wanted the course that's going to help you move over as fast as possible than this is the course for you.

Automated Deployment It was important that I show you how to setup automatic deployment on git push so you have the same productivity as you would with Heroku.

AWS Services Covered VPC, Route Tables, Subnets, IGW
EC2
S3
IAM
RDS
Auto Scaling Groups
Application Load Balancer
Systems Manager
CodeDeploy
CodePipeline


AWS Certification Seekers
If you are studying for the SysOps Associate or the DevOps Professional this course is going to help you gain the practical knowledge around Auto Scaling Groups and Load Balancing and Blue/Green deployment.

What you'll learn

Setting up your AWS Network
Creating RDS Postgres Database
Configure, Launch and SSH into EC2
Provision Ruby on Rails For Production
Create an Amazon Machine Image
Setup an Auto Scaling Group
Setup an Application Load Balancer
Blue/Green deployment via CodeDeploy
Automatic Deployment via CodePipeline

Requirements

You need to have a Free Github Account
You need to have basic knowledge of Terminal or Powershell
You need to be able to clone a git repo to your local machine
You need very basic knowledge of any scripting language
Ruby on Rails knowledge is not required
You need your own AWS Account
You need to have basic knowledge of Terminal or Powershell

07_01. Create WebServer SecurityGroup and Launch Configuration

This course jumps straight into showing you the exact steps you'll need to setup the infrastructure to deploy a web-application into production using Blue/Green deployment.

I have built an example web-application in Ruby on Rails tuned for production which we'll use to provision an EC2 instance, then bake instance to Amazon Machine Image (AMI). We'll then use that AMI in a Launch Configuration and Create an Auto Scaling Group (ASG). We'll than tie our ASG to an Application Load Balancer (ALB). We'll use CodeDeploy for Blue/Green Deployment and automate deployment on git push with CodePipeline.

Built For Real World Use

This is an end-to-end course and its intended for real use. I have setup multiple startups on this exact configuration. If you are using Heroku, Linode or Digital Ocean and are thinking of moving over to AWS but wanted the course that's going to help you move over as fast as possible than this is the course for you.

Automated Deployment It was important that I show you how to setup automatic deployment on git push so you have the same productivity as you would with Heroku.

AWS Services Covered VPC, Route Tables, Subnets, IGW
EC2
S3
IAM
RDS
Auto Scaling Groups
Application Load Balancer
Systems Manager
CodeDeploy
CodePipeline


AWS Certification Seekers
If you are studying for the SysOps Associate or the DevOps Professional this course is going to help you gain the practical knowledge around Auto Scaling Groups and Load Balancing and Blue/Green deployment.

What you'll learn

Setting up your AWS Network
Creating RDS Postgres Database
Configure, Launch and SSH into EC2
Provision Ruby on Rails For Production
Create an Amazon Machine Image
Setup an Auto Scaling Group
Setup an Application Load Balancer
Blue/Green deployment via CodeDeploy
Automatic Deployment via CodePipeline

Requirements

You need to have a Free Github Account
You need to have basic knowledge of Terminal or Powershell
You need to be able to clone a git repo to your local machine
You need very basic knowledge of any scripting language
Ruby on Rails knowledge is not required
You need your own AWS Account
You need to have basic knowledge of Terminal or Powershell

07_02. Create Auto Scaling Group

This course jumps straight into showing you the exact steps you'll need to setup the infrastructure to deploy a web-application into production using Blue/Green deployment.

I have built an example web-application in Ruby on Rails tuned for production which we'll use to provision an EC2 instance, then bake instance to Amazon Machine Image (AMI). We'll then use that AMI in a Launch Configuration and Create an Auto Scaling Group (ASG). We'll than tie our ASG to an Application Load Balancer (ALB). We'll use CodeDeploy for Blue/Green Deployment and automate deployment on git push with CodePipeline.

Built For Real World Use

This is an end-to-end course and its intended for real use. I have setup multiple startups on this exact configuration. If you are using Heroku, Linode or Digital Ocean and are thinking of moving over to AWS but wanted the course that's going to help you move over as fast as possible than this is the course for you.

Automated Deployment It was important that I show you how to setup automatic deployment on git push so you have the same productivity as you would with Heroku.

AWS Services Covered VPC, Route Tables, Subnets, IGW
EC2
S3
IAM
RDS
Auto Scaling Groups
Application Load Balancer
Systems Manager
CodeDeploy
CodePipeline


AWS Certification Seekers
If you are studying for the SysOps Associate or the DevOps Professional this course is going to help you gain the practical knowledge around Auto Scaling Groups and Load Balancing and Blue/Green deployment.

What you'll learn

Setting up your AWS Network
Creating RDS Postgres Database
Configure, Launch and SSH into EC2
Provision Ruby on Rails For Production
Create an Amazon Machine Image
Setup an Auto Scaling Group
Setup an Application Load Balancer
Blue/Green deployment via CodeDeploy
Automatic Deployment via CodePipeline

Requirements

You need to have a Free Github Account
You need to have basic knowledge of Terminal or Powershell
You need to be able to clone a git repo to your local machine
You need very basic knowledge of any scripting language
Ruby on Rails knowledge is not required
You need your own AWS Account
You need to have basic knowledge of Terminal or Powershell

07_03. Allow Traffic to RDS from WebServer Security Group

This course jumps straight into showing you the exact steps you'll need to setup the infrastructure to deploy a web-application into production using Blue/Green deployment.

I have built an example web-application in Ruby on Rails tuned for production which we'll use to provision an EC2 instance, then bake instance to Amazon Machine Image (AMI). We'll then use that AMI in a Launch Configuration and Create an Auto Scaling Group (ASG). We'll than tie our ASG to an Application Load Balancer (ALB). We'll use CodeDeploy for Blue/Green Deployment and automate deployment on git push with CodePipeline.

Built For Real World Use

This is an end-to-end course and its intended for real use. I have setup multiple startups on this exact configuration. If you are using Heroku, Linode or Digital Ocean and are thinking of moving over to AWS but wanted the course that's going to help you move over as fast as possible than this is the course for you.

Automated Deployment It was important that I show you how to setup automatic deployment on git push so you have the same productivity as you would with Heroku.

AWS Services Covered VPC, Route Tables, Subnets, IGW
EC2
S3
IAM
RDS
Auto Scaling Groups
Application Load Balancer
Systems Manager
CodeDeploy
CodePipeline


AWS Certification Seekers
If you are studying for the SysOps Associate or the DevOps Professional this course is going to help you gain the practical knowledge around Auto Scaling Groups and Load Balancing and Blue/Green deployment.

What you'll learn

Setting up your AWS Network
Creating RDS Postgres Database
Configure, Launch and SSH into EC2
Provision Ruby on Rails For Production
Create an Amazon Machine Image
Setup an Auto Scaling Group
Setup an Application Load Balancer
Blue/Green deployment via CodeDeploy
Automatic Deployment via CodePipeline

Requirements

You need to have a Free Github Account
You need to have basic knowledge of Terminal or Powershell
You need to be able to clone a git repo to your local machine
You need very basic knowledge of any scripting language
Ruby on Rails knowledge is not required
You need your own AWS Account
You need to have basic knowledge of Terminal or Powershell

07_04. Updating our AMI by Copying Launch Configuration

This course jumps straight into showing you the exact steps you'll need to setup the infrastructure to deploy a web-application into production using Blue/Green deployment.

I have built an example web-application in Ruby on Rails tuned for production which we'll use to provision an EC2 instance, then bake instance to Amazon Machine Image (AMI). We'll then use that AMI in a Launch Configuration and Create an Auto Scaling Group (ASG). We'll than tie our ASG to an Application Load Balancer (ALB). We'll use CodeDeploy for Blue/Green Deployment and automate deployment on git push with CodePipeline.

Built For Real World Use

This is an end-to-end course and its intended for real use. I have setup multiple startups on this exact configuration. If you are using Heroku, Linode or Digital Ocean and are thinking of moving over to AWS but wanted the course that's going to help you move over as fast as possible than this is the course for you.

Automated Deployment It was important that I show you how to setup automatic deployment on git push so you have the same productivity as you would with Heroku.

AWS Services Covered VPC, Route Tables, Subnets, IGW
EC2
S3
IAM
RDS
Auto Scaling Groups
Application Load Balancer
Systems Manager
CodeDeploy
CodePipeline


AWS Certification Seekers
If you are studying for the SysOps Associate or the DevOps Professional this course is going to help you gain the practical knowledge around Auto Scaling Groups and Load Balancing and Blue/Green deployment.

What you'll learn

Setting up your AWS Network
Creating RDS Postgres Database
Configure, Launch and SSH into EC2
Provision Ruby on Rails For Production
Create an Amazon Machine Image
Setup an Auto Scaling Group
Setup an Application Load Balancer
Blue/Green deployment via CodeDeploy
Automatic Deployment via CodePipeline

Requirements

You need to have a Free Github Account
You need to have basic knowledge of Terminal or Powershell
You need to be able to clone a git repo to your local machine
You need very basic knowledge of any scripting language
Ruby on Rails knowledge is not required
You need your own AWS Account
You need to have basic knowledge of Terminal or Powershell

08_01. Create Target Group

This course jumps straight into showing you the exact steps you'll need to setup the infrastructure to deploy a web-application into production using Blue/Green deployment.

I have built an example web-application in Ruby on Rails tuned for production which we'll use to provision an EC2 instance, then bake instance to Amazon Machine Image (AMI). We'll then use that AMI in a Launch Configuration and Create an Auto Scaling Group (ASG). We'll than tie our ASG to an Application Load Balancer (ALB). We'll use CodeDeploy for Blue/Green Deployment and automate deployment on git push with CodePipeline.

Built For Real World Use

This is an end-to-end course and its intended for real use. I have setup multiple startups on this exact configuration. If you are using Heroku, Linode or Digital Ocean and are thinking of moving over to AWS but wanted the course that's going to help you move over as fast as possible than this is the course for you.

Automated Deployment It was important that I show you how to setup automatic deployment on git push so you have the same productivity as you would with Heroku.

AWS Services Covered VPC, Route Tables, Subnets, IGW
EC2
S3
IAM
RDS
Auto Scaling Groups
Application Load Balancer
Systems Manager
CodeDeploy
CodePipeline


AWS Certification Seekers
If you are studying for the SysOps Associate or the DevOps Professional this course is going to help you gain the practical knowledge around Auto Scaling Groups and Load Balancing and Blue/Green deployment.

What you'll learn

Setting up your AWS Network
Creating RDS Postgres Database
Configure, Launch and SSH into EC2
Provision Ruby on Rails For Production
Create an Amazon Machine Image
Setup an Auto Scaling Group
Setup an Application Load Balancer
Blue/Green deployment via CodeDeploy
Automatic Deployment via CodePipeline

Requirements

You need to have a Free Github Account
You need to have basic knowledge of Terminal or Powershell
You need to be able to clone a git repo to your local machine
You need very basic knowledge of any scripting language
Ruby on Rails knowledge is not required
You need your own AWS Account
You need to have basic knowledge of Terminal or Powershell