Using gcp artifactregistry with composer

Question

Pulumi · Accepted Answer

When integrating GCP Artifact Registry with Composer, the goal is often to store and manage container images or packages that your Composer environments may use as dependencies or executables. Here's how to use Pulumi to create an Artifact Registry repository on Google Cloud Platform (GCP) and then set up a Composer Environment that can use artifacts from this repository.

### Define an Artifact Registry Repository
The Artifact Registry is a resource on GCP that allows you to store, manage, and secure your container images and language packages. With Pulumi, you can programmatically define the repository, as shown below.

First, we define an Artifact Registry repository. We'll create a Docker repository, but it's worth noting that the Artifact Registry supports Maven and npm package formats as well.

### Create a Composer Environment
After the repository is set up, we'll then create a Composer environment. Composer is Google's managed Apache Airflow service, and it will need access to the Artifact Registry to pull images or packages for your workflows.

In the provided program, replace the placeholders with your project and location details as applicable. Here's a complete Pulumi program in TypeScript to set up the artifacts and Composer environment:

```typescript
import * as gcp from "@pulumi/gcp";

// Replace these with your actual project and location
const project = "your-gcp-project";
const location = "your-gcp-location";

// Create an Artifact Registry Repository to store Docker images
const myRepository = new gcp.artifactregistry.Repository("myRepository", {
    format: "DOCKER", // Specify the repository format
    location: location, // Location must be one of the supported regions
    project: project, // Your GCP project ID
    repositoryId: "my-repo-id", // An identifier for the repository
    description: "A repository for Docker images used by Composer",
    // Additional configurations can be provided if needed
});

// Next, set up a Composer environment
const myComposerEnv = new gcp.composer.Environment("myComposerEnv", {
    location: location,
    project: project,
    name: "my-composer-environment",
    config: {
        nodeCount: 3, // Define the number of nodes in the environment
        nodeConfig: {
            zone: "us-central1-a", // Zone for the Composer environment
            machineType: "n1-standard-1", // Machine type for the nodes
            // Network and disk configurations can be added here
        },
        softwareConfig: {
            imageVersion: "composer-1.17.0-airflow-2.1.2", // Composer image version
            // Environment variables and Airflow configurations can be set here
        },
    },
    // You can provide labels and other settings for the Composer environment
});

// Export the repository URL so that it can be used in CI/CD pipelines or other integrations
export const repositoryUrl = myRepository.repositoryUrl;
```

### Explanation

1. We import the `@pulumi/gcp` package, which contains the Google Cloud resources you can manage using Pulumi.

2. We specify constants for the project and location that we are going to use. These values should be replaced with your specific project ID and region where you want to deploy your resources.

3. We declare an Artifact Registry repository using the `gcp.artifactregistry.Repository` resource. In this case, we set up a Docker repository, the location, project, and a unique `repositoryId`.

4. Next, we configure a GCP Composer environment with `gcp.composer.Environment`, defining characteristics such as the number of nodes, machine type, and Composer image version. This environment is where your Apache Airflow DAGs will run.

5. Finally, we export the `repositoryUrl` which provides the address of the created Artifact Registry repository. This can be used to reference the repository in deployments and integrations.

Remember, this Pulumi program should be run in a Pulumi project directory and `pulumi up` should be executed to create these resources on GCP. Ensure that you have authenticated with the GCP CLI (`gcloud`) and set up Pulumi with a stack that's configured for GCP.