What is CodePipeline?

• CodePipeline builds, tests, and deploys your code every time there is a code change, based on the release process models you define. Think of it as a CI/CD Pipeline service

Task-01 :

• Create a Deployment group of Ec2 Instance.

• Create a CodePipeline that gets the code from CodeCommit, Builds the code using CodeBuild, and deploys it to a Deployment Group.

Stages:

1. Pipeline: A pipeline is a series of stages and actions that define the workflow of your CI/CD process. Each stage represents a step in the process, and each action represents a task to be performed, such as building the application or deploying it to a server.

2. Source Stage: This is the first stage in the pipeline, where your source code is retrieved from a version control system such as AWS CodeCommit, GitHub, or Amazon S3.

3. Build Stage: In this stage, the source code is built into an artifact that can be deployed. AWS CodeBuild or third-party build services can be used to perform the build.

4. Test Stage: After the build is successful, the artifact is passed to the test stage, where automated testing can be performed using tools like AWS CodeBuild, AWS CodeDeploy, or third-party testing services.

5. Deploy Stage: Once the code has passed all the necessary tests, it is deployed to the target environment using services like AWS CodeDeploy, AWS Elastic Beanstalk, AWS CloudFormation, or custom deployment scripts.

6. Approval Stage: If required, you can include a manual approval action in the pipeline, allowing a human reviewer to manually approve or reject a deployment before proceeding to the next stage.

7. Artifact: An artifact is a versioned, deployable unit produced during the build stage. It could be a compiled binary, a packaged application, or any output generated by the build process.

8. AWS Integration: AWS CodePipeline integrates with various AWS services to enable seamless CI/CD workflows. Some of the integrated services include AWS CodeBuild, AWS CodeDeploy, AWS CodeCommit, AWS Elastic Beanstalk, AWS CloudFormation, etc.

To create an AWS CodePipeline that deploys your application using AWS CodeDeploy after a successful build, follow these steps:

1. Set up AWS CodeDeploy: Ensure you have your application code and deployment configurations ready in AWS CodeDeploy. You should have a deployment group and an application revision that is tested and ready for deployment.

2. Create an S3 Bucket (Optional): If your application revision is not already in an S3 bucket, create one and upload your application revision (e.g., a .zip file) to the S3 bucket. AWS CodePipeline will use this S3 bucket as a source for the deployment.

3. Create an AWS CodeBuild Project (Optional): If you need to build your application before deploying, set up an AWS CodeBuild project to compile, test, and package your application into a deployable artifact. Configure the build project with the necessary build settings, such as source code location, build environment, and build commands.

4. Create an AWS CodePipeline: Now, you can create an AWS CodePipeline that automates the entire deployment process. Here are the steps:

   a. Open the AWS Management Console and navigate to the AWS CodePipeline service.

   b. Click on "Create pipeline."

   c. Provide a name for your pipeline and click "Next."

   d. In the "Source" stage, select the source provider where your application code resides, such as AWS CodeCommit, GitHub, or an S3 bucket. Configure the source settings accordingly.

   e. In the "Build" stage (optional), select AWS CodeBuild as the build provider if you need to build your application. Choose the CodeBuild project you created in step 3.

   f. In the "Deploy" stage, select AWS CodeDeploy as the deployment provider. Configure the deployment settings, including the application name, deployment group name, and the S3 bucket and key where the application revision is located.

   g. If you need manual approval before deploying, you can add an "Approval" stage after the "Build" stage.

   h. Click "Next" to review your pipeline configuration.

   i. Click "Create pipeline" to create your AWS CodePipeline.

5. Test Your Pipeline: Once the pipeline is created, it will automatically start when changes are detected in the source repository. The pipeline will build (if you have a build stage) and then deploy the application using AWS CodeDeploy.

6. Monitor the Pipeline: Monitor the pipeline to ensure it's running smoothly and handling deployments correctly. If any issues arise, you can check the pipeline execution details and logs for troubleshooting.

By following these steps, you will have a fully automated CI/CD pipeline using AWS CodePipeline that builds your application (if needed) and deploys it using AWS CodeDeploy after a successful build.