Scalable Multi-Account CI/CD with AWS CodePipeline

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Pulumi · Accepted Answer

Creating a scalable multi-account CI/CD pipeline using AWS CodePipeline involves several AWS services and Pulumi resources, such as AWS CodeCommit for source control, AWS CodeBuild for building and testing code, and AWS CodePipeline for orchestrating the CI/CD workflow. The following Pulumi program written in Python will demonstrate how to set up a simple version of such a pipeline. Here's what we will do:

1. **AWS CodeCommit Repository**: It will act as our source repository where we'll store our application's code.
2. **AWS CodeBuild Project**: This will compile our source code, run tests, and produce artifacts that can be deployed.
3. **AWS CodePipeline Pipeline**: This is the main orchestration service that will manage the workflow between CodeCommit, CodeBuild, and potentially deployment stages.
4. **Roles and Permissions**: Setup IAM roles and policies that allow CodeBuild to access the CodeCommit repository and artifacts, and CodePipeline to manage our CI/CD workflow.

Each resource will be configured with the necessary settings that will be used throughout the CI/CD process. The Pulumi program below will set up these resources.

Before running the Pulumi program, you will need to have the Pulumi CLI installed, AWS credentials configured on your machine, and an AWS account where the resources will be deployed.

```python
import pulumi
import pulumi_aws as aws

# Creating a new CodeCommit repository
code_repo = aws.codecommit.Repository("example-repo",
    repository_name="example-repo",
    description="An example repository for our multi-account CI/CD pipeline.")

# IAM role for CodeBuild to access the CodeCommit repository
codebuild_role = aws.iam.Role("codebuild-role",
    assume_role_policy="""{
        "Version": "2012-10-17",
        "Statement": [
            {
                "Effect": "Allow",
                "Principal": {
                    "Service": "codebuild.amazonaws.com"
                },
                "Action": "sts:AssumeRole"
            }
        ]
    }"""
)

# Inline policy for CodeBuild to access the CodeCommit repository
codebuild_policy = aws.iam.RolePolicy("codebuild-policy",
    role=codebuild_role.id,
    policy=code_repo.repository_clone_url_http.apply(lambda url: f"""{{
        "Version": "2012-10-17",
        "Statement": [
            {{
                "Effect": "Allow",
                "Action": [
                    "codecommit:GitPull"
                ],
                "Resource": "{url}"
            }}
        ]
    }}""")
)

# Creating a CodeBuild project, connected to the CodeCommit repository
codebuild_project = aws.codebuild.Project("example-build",
    name="example-build",
    description="Build project for our multi-account CI/CD pipeline.",
    service_role=codebuild_role.arn,
    source=aws.codebuild.ProjectSourceArgs(
        type="CODECOMMIT",
        location=code_repo.repository_clone_url_http,
    ),
    artifacts=aws.codebuild.ProjectArtifactsArgs(
        type="NO_ARTIFACTS",
    ),
    environment=aws.codebuild.ProjectEnvironmentArgs(
        compute_type="BUILD_GENERAL1_SMALL",
        image="aws/codebuild/standard:4.0",
        type="LINUX_CONTAINER",
    ),
)

# IAM role for CodePipeline to manage the CI/CD workflow
codepipeline_role = aws.iam.Role("codepipeline-role",
    assume_role_policy="""{
        "Version": "2012-10-17",
        "Statement": [
            {
                "Effect": "Allow",
                "Principal": {
                    "Service": "codepipeline.amazonaws.com"
                },
                "Action": "sts:AssumeRole"
            }
        ]
    }"""
)

# Creating a CodePipeline pipeline
codepipeline = aws.codepipeline.Pipeline("example-pipeline",
    name="example-pipeline",
    role_arn=codepipeline_role.arn,
    artifact_stores=[aws.codepipeline.PipelineArtifactStoreArgs(
        region="us-west-2",
        location=aws_s3_bucket.artifact_bucket.bucket,
        type="S3",
    )],
    stages=[
        aws.codepipeline.PipelineStageArgs(
            name="Source",
            actions=[aws.codepipeline.PipelineStageActionArgs(
                name="Source",
                category="Source",
                owner="AWS",
                provider="CodeCommit",
                version="1",
                output_artifacts=["source_output"],
                configuration=aws.codepipeline.PipelineStageActionConfigurationArgs(
                    repository_name=code_repo.repository_name,
                    branch_name="main",
                ),
            )],
        ),
        aws.codepipeline.PipelineStageArgs(
            name="Build",
            actions=[aws.codepipeline.PipelineStageActionArgs(
                name="Build",
                category="Build",
                owner="AWS",
                provider="CodeBuild",
                input_artifacts=["source_output"],
                version="1",
                output_artifacts=["build_output"],
                configuration=aws.codepipeline.PipelineStageActionConfigurationArgs(
                    project_name=codebuild_project.name,
                ),
            )],
        ),
        # Add more stages here if needed, e.g., for deployment.
    ]
)

# Creating an S3 bucket as artifact store for CodePipeline
artifact_bucket = aws.s3.Bucket("artifact-store-bucket", acl="private")

# Pulumi stack outputs
pulumi.export("code_commit_repository_clone_url_http", code_repo.repository_clone_url_http)
pulumi.export("code_build_project_name", codebuild_project.name)
pulumi.export("code_pipeline_name", codepipeline.name)
pulumi.export("artifact_store_bucket", artifact_bucket.bucket)

# Additional stack exports and resources can be added below
```

This program will create the AWS CodeCommit repository, AWS CodeBuild project, IAM roles, and AWS CodePipeline pipeline, which will form the backbone of a CI/CD process. You can also add more stages to the CodePipeline to deploy to different environments. Remember to replace `us-west-2` with your desired AWS region if necessary.

After running this program with Pulumi (`pulumi up`), you will have a scalable CI/CD pipeline capable of working across multiple AWS accounts if configured with the correct IAM roles and policies. The outputs exported at the end of the program will give you the information needed to access your resources or integrate them into other applications or stages.