AWS CodePipeline is a fully managed continuous delivery service that helps you automate your release pipelines for fast and reliable application and infrastructure updates. With CodePipeline, you can define a series of stages that your code will go through to reach production, such as source code management, build, test, and deployment.
In this tutorial, we’ll create a simple pipeline using the AWS CLI. Here are the high-level steps we’ll follow:
- Set up prerequisites
- Create an S3 bucket to store pipeline artifacts
- Create an IAM role with appropriate permissions
- Create a CodePipeline pipeline with the AWS CLI
- Test the pipeline by making changes to the source code
- Clean up resources
Let’s get started!
Prerequisites
Before we begin, make sure you have the following:
- An AWS account with administrative access
- AWS CLI installed and configured on your local machine
- Git installed on your local machine
- A sample application that you want to deploy (e.g. a simple web application)
Step 1: Create an S3 bucket to store pipeline artifacts
We need an S3 bucket to store the artifacts produced by the pipeline. Artifacts are the files that are generated during the build process and are used in the subsequent stages of the pipeline.
To create an S3 bucket, run the following command:
aws s3 mb s3://your-bucket-name
Replace your-bucket-name with a unique name for your bucket. Note that the bucket name must be globally unique across all AWS accounts.
Step 2: Create an IAM role with appropriate permissions
To use CodePipeline, we need an IAM role with permissions to perform the necessary actions in our AWS account.
Create a file named codepipeline-role-policy.json with the following contents:
{
"Version": "2012-10-17",
"Statement": [
{
"Action": [
"codecommit:CancelUploadArchive",
"codecommit:GetBranch",
"codecommit:GetCommit",
"codecommit:GetUploadArchiveStatus",
"codecommit:UploadArchive",
"codedeploy:CreateDeployment",
"codedeploy:GetApplicationRevision",
"codedeploy:GetDeployment",
"codedeploy:GetDeploymentConfig",
"codedeploy:RegisterApplicationRevision",
"iam:PassRole",
"lambda:AddPermission",
"lambda:CreateAlias",
"lambda:CreateFunction",
"lambda:DeleteAlias",
"lambda:DeleteFunction",
"lambda:GetAlias",
"lambda:GetFunction",
"lambda:GetFunctionConfiguration",
"lambda:GetPolicy",
"lambda:InvokeFunction",
"lambda:ListVersionsByFunction",
"lambda:PublishVersion",
"lambda:RemovePermission",
"lambda:UpdateAlias",
"lambda:UpdateFunctionCode",
"lambda:UpdateFunctionConfiguration",
"s3:GetObject",
"s3:GetObjectVersion",
"s3:GetBucketVersioning",
"s3:PutObject"
],
"Resource": "*",
"Effect": "Allow"
}
]
}
This policy grants permissions to the necessary AWS services for the pipeline to work.
Next, create the IAM role by running the following command:
aws iam create-role --role-name your-role-name --assume-role-policy-document file://codepipeline-role-policy.json
Replace your-role-name with a unique name for your role.
Step 3: Create a CodePipeline pipeline with the AWS CLI
Now that we have our prerequisites set up, we can create our CodePipeline pipeline using the AWS CLI. The pipeline will have two stages: a source stage and a build stage.
Create a file named pipeline.json with the following contents:
{
"pipeline": {
"name": "your-pipeline-name",
"roleArn": "arn:aws:iam::your-account-id:role/your-role-name",
"artifactStore": {
"type": "S3",
"location": "your-bucket-name"
},
"stages": [
{
"name": "Source",
"actions": [
{
"name": "Source",
"actionTypeId": {
"category": "Source",
"owner": "AWS",
"provider": "CodeCommit",
"version": "1"
},
"configuration": {
"RepositoryName": "your-repo-name",
"BranchName": "master"
},
"outputArtifacts": [
{
"name": "source"
}
],
"runOrder": 1
}
]
},
{
"name": "Build",
"actions": [
{
"name": "Build",
"actionTypeId": {
"category": "Build",
"owner": "AWS",
"provider": "CodeBuild",
"version": "1"
},
"inputArtifacts": [
{
"name": "source"
}
],
"configuration": {
"ProjectName": "your-codebuild-project-name"
},
"runOrder": 1
}
]
}
],
"version": 1
}
}
Replace the placeholders with your own values:
your-pipeline-name: A unique name for your pipelineyour-account-id: Your AWS account IDyour-role-name: The name of the IAM role you created in step 2your-bucket-name: The name of the S3 bucket you created in step 1your-repo-name: The name of your source code repository (e.g. a CodeCommit repository)your-codebuild-project-name: The name of your CodeBuild project that will build your application
Next, run the following command to create the pipeline:
aws codepipeline create-pipeline --cli-input-json file://pipeline.json
This will create a new pipeline with the name and stages specified in the pipeline.json file.
Step 4: Test the pipeline by making changes to the source code
Now that we have our pipeline set up, let’s test it by making changes to our source code and pushing them to our source code repository.
Assuming you’re using a CodeCommit repository, make changes to your source code and push them to the master branch:
git add .
git commit -m "made some changes"
git push origin master
This should trigger the pipeline and start the build process. You can check the progress of the pipeline in the AWS Management Console or by running the following command:
aws codepipeline get-pipeline-state --name your-pipeline-name
Replace your-pipeline-name with the name of your pipeline.
Step 5: Clean up resources
Once you’re done testing the pipeline, it’s a good practice to clean up the resources to avoid incurring unnecessary charges.
To delete the pipeline, run the following command:
aws codepipeline delete-pipeline --name your-pipeline-name
Replace your-pipeline-name with the name of your pipeline.
To delete the S3 bucket, run the following command:
aws s3 rb s3://your-bucket-name --force
Replace `your-bucket-name` with the name of your S3 bucket.
To delete the IAM role, run the following command:
aws iam delete-role --role-name your-role-name
Replace `your-role-name` with the name of your IAM role.
To delete the CodeBuild project, run the following command:
aws codebuild delete-project --name your-codebuild-project-name
Replace `your-codebuild-project-name` with the name of your CodeBuild project.
### Conclusion
In this tutorial, you learned how to set up a CodePipeline pipeline using the AWS Management Console and the AWS CLI. You also learned how to test the pipeline by making changes to your source code and pushing them to your source code repository.
CodePipeline is a powerful tool that can help you automate your software delivery process and speed up your development workflow. By using CodePipeline, you can easily set up a continuous integration and continuous delivery (CI/CD) pipeline that can automatically build, test, and deploy your application whenever changes are made to your source code.
As with any AWS service, make sure to follow best practices for security, cost optimization, and scalability when setting up your pipelines. Happy coding!