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How to Build CI/CD Pipeline: GitHub to AWS

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 Creating a CI/CD pipeline to deploy a project from GitHub to AWS can be done using various AWS services like AWS CodePipeline, AWS CodeBuild, and optionally AWS CodeDeploy or Amazon ECS for application deployment. Below is a high-level guide on how to set up a basic GitHub to AWS pipeline: Prerequisites AWS Account : Ensure access to the AWS account with the necessary permissions. GitHub Repository : Have your application code hosted on GitHub. IAM Roles : Create necessary IAM roles with permissions to interact with AWS services (e.g., CodePipeline, CodeBuild, S3, ECS, etc.). AWS CLI : Install and configure the AWS CLI for easier management of services. Step 1: Create an S3 Bucket for Artifacts AWS CodePipeline requires an S3 bucket to store artifacts (builds, deployments, etc.). Go to the S3 service in the AWS Management Console. Create a new bucket, ensuring it has a unique name. Note the bucket name for later use. Step 2: Set Up AWS CodeBuild CodeBuild will handle the build proces
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How to Understand AWS CloudFormation Easily

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AWS CloudFormation is a service that helps you model and set up your Amazon Web Services resources so that you can spend less time managing those resources and more time focusing on your applications that run in AWS.

You create a template that describes all the AWS resources you want (like Amazon EC2 instances or Amazon RDS DB instances), and AWS CloudFormation provides and configures those resources for you.

cloud formation

 

You don't need to individually create and configure AWS resources and figure out what's dependent on what; AWS CloudFormation handles all of that. 

Managing Infrastructure

  • For a scalable web application that also includes a back-end database, you might use an Auto Scaling group, an Elastic Load Balancing load balancer, and an Amazon Relational Database Service database instance. 
  • Normally, you might use each individual service to provide these resources. And after you create the resources, you would have to configure them to work together. All these tasks can add complexity and time before you even get your application up and running. 
  • Instead, you can create or modify an existing AWS CloudFormation template. A template describes all of your resources and their properties. 
  • When you use that template to create an AWS CloudFormation stack, AWS CloudFormation provisions the Auto Scaling group, load balancer, and database for you. After the stack has been created, your AWS resources are up and running. You can delete the stack quickly. which deletes all the resources in the stack. By using AWS CloudFormation, you easily manage a collection of resources as a single unit.

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