1. AI Pipeline Triggering with Repository Secrets for Continuous Integration


    In a typical software development workflow, continuous integration (CI) pipelines are essential for automating the testing and building process. Integrating repository secrets safely into these pipelines ensures sensitive data like API keys or credentials do not get exposed. Pulumi can help you create infrastructure as code (IaC) to set up these pipelines and secrets.

    The program below creates a GitHub Actions environment secret, which is essential for managing secrets needed by GitHub Actions workflows. This allows you to store and control access to sensitive information required for your CI process. Additionally, the program sets up an AWS CodeCommit repository and a trigger that automates the build pipeline whenever a commit is pushed to the repository.

    To achieve this setup, we use two Pulumi resources:

    1. github.ActionsEnvironmentSecret: This resource manages a secret within a GitHub Actions environment, ensuring that the secret is available to GitHub Actions runs that reference the environment.

      GitHub ActionsEnvironmentSecret Documentation

    2. aws.codecommit.Trigger: This resource manages the trigger for an AWS CodeCommit repository, which can be used to trigger builds or other events in response to repository changes.

      AWS CodeCommit Trigger Documentation

    Let's first set up the GitHub Actions environment secret, followed by the AWS CodeCommit repository and trigger:

    import pulumi import pulumi_github as github import pulumi_aws as aws # Replace these variables with the actual details from your GitHub and AWS setup. github_repository_name = 'example-repo' github_environment_name = 'production' secret_name = 'MY_SECRET' secret_value = 'secretValue123' # You should retrieve this securely, perhaps from Pulumi config. # Setting up a GitHub Actions environment secret. github_actions_secret = github.ActionsEnvironmentSecret("github-actions-environment-secret", repository=github_repository_name, environment=github_environment_name, secret_name=secret_name, plaintext_value=secret_value # In a real-world scenario, you'd want to encrypt this value. ) # Now, let's set up the AWS CodeCommit repository where our code will reside. codecommit_repo = aws.codecommit.Repository("example-repo", repository_name=github_repository_name, description="An example repository for triggering CI pipelines." ) # Creating a trigger for the repository that invokes our CI pipeline on updates to the main branch. codecommit_trigger = aws.codecommit.Trigger("example-trigger", repository_name=codecommit_repo.name, triggers=[ aws.codecommit.TriggerTriggerArgs( name="MainBranchTrigger", events=["updateRef"], branches=["main"], destination_arn="arn:aws:sns:us-east-1:123456789012:MyCodeCommitTopic", custom_data="Triggering build on commit to main." ) ] ) # Export useful attributes. These can be used to access your AWS CodeCommit repository to set up CI/CD pipelines. pulumi.export("github_actions_environment_secret_name", github_actions_secret.secret_name) pulumi.export("codecommit_repository_clone_url_http", codecommit_repo.clone_url_http)

    This Pulumi program does the following:

    • Defines a secret in a repo's GitHub Actions environment. The secret is stored in plaintext, but you should usually retrieve and use the secret securely.
    • Creates an AWS CodeCommit repository to host your application's code.
    • Adds a trigger to your CodeCommit repository so that any update to the main branch (like a git push) will notify a target, which in this case is assumed to be an AWS SNS topic ARN. This notification can then be used to start the build/deployment process in your CI/CD system.

    To properly manage the resources in this stack, you will need appropriate access to both GitHub and AWS. The repository name and other variables like the ARN for the SNS topic should be replaced with actual values that correspond to your project needs.

    This program assumes you have set up Pulumi with the necessary access to create resources in your GitHub and AWS accounts. Additionally, always remember to treat your secrets with care – in a production scenario, Pulumi's configuration system allows you to encrypt secret values.