AWS CICD Pipeline Basics - Learn with Easy Visuals

Welcome to understanding CI/CD and AWS Services. Today we'll explore how modern software delivery works.CI/CD stands for Continuous Integration and Continuous Deployment, two key practices in modern software development.Continuous Integration focuses on frequently merging code changes into a central repository, with automated building and testing to ensure quality.Continuous Deployment takes it further by automatically deploying these validated changes through various environments to production.Let's see how developers work in a CI/CD environment.Developers regularly commit their code changes to a central repository.AWS provides three key services for implementing CI/CD: CodeCommit, CodeBuild, and CodePipeline.CodeCommit is AWS's version control service, providing a secure place to store and manage your source code.CodeBuild compiles your code, runs automated tests, and produces deployment packages.CodePipeline orchestrates the entire process, automating your software delivery workflow.These services work together to form a complete CI/CD pipeline. Code flows from CodeCommit through CodeBuild and is orchestrated by CodePipeline.CI/CD provides numerous benefits: faster development cycles, reduced manual errors, consistent deployments, and better code quality.Now that we understand the basics of CI/CD and AWS services, let's move on to building our first pipeline.Let's start by creating our CodeCommit repository to store our application code.Next, we'll create our buildspec.yml file, which defines the build process. This file must be in your repository root.The buildspec file contains phases for installation, pre-build steps, and the main build commands.Now we'll set up our CodeBuild project, which will use this buildspec file to build our application.Let's create our pipeline with three main stages: source, build, and deploy.The source stage pulls from CodeCommit, the build stage uses our CodeBuild project, and the deploy stage will push to S3.Finally, we'll configure the pipeline settings, including the pipeline name and required IAM roles.In our testing phase, we'll configure automated tests in CodeBuild across multiple environments.Each environment runs a specific set of tests. Let's look at our test configuration.After tests pass in development, code moves to staging where we implement manual approval gates.Let's examine different deployment strategies available in AWS CodeDeploy.Rolling deployment updates servers gradually, blue-green deployment switches between two environments, and canary releases test with a subset of users.AWS provides comprehensive monitoring of your pipeline execution through the console.Key metrics include deployment success rate, average deployment time, and number of rollbacks.With proper testing and deployment configurations in place, your pipeline can reliably deliver code to production.