OIDC Integration for AI Platform User Management

Question

Pulumi · Accepted Answer

To handle OIDC (OpenID Connect) integration for AI Platform user management using Pulumi, you can use various cloud providers that offer Identity Platform features. For instance, Google Cloud Platform provides Identity Platform services that allow you to set up OIDC integration.

Below, I'll demonstrate a Pulumi program using the Google Cloud Platform (GCP) resources to configure OIDC integration. The primary resource used will be `gcp.identityplatform.OauthIdpConfig`, which is responsible for integrating OIDC identity providers with the Google Cloud Identity Toolkit.

This Pulumi program sets up a basic OIDC configuration assuming that you have an existing OIDC identity provider (IdP) and that you know the issuer URL and client ID specific to the OIDC provider. We're going to use fictitious values for the client ID and issuer URL, but in a real-world scenario, you'd replace these with actual information from your OIDC provider.

Here's a detailed step-by-step walkthrough of the OIDC integration using Pulumi with GCP:

1. **Resource Import**: The `gcp.identityplatform.OauthIdpConfig` resource is imported, which is used for integrating with OIDC IdPs.
2. **OIDC Configuration**: The program will configure an OIDC identity provider, setting properties like `issuer`, `clientId`, and potentially `clientSecret` if the client secret is necessary for your IdP.
3. **Deployment**: The program is then deployed using the Pulumi CLI which communicates with your cloud provider to provision the resources as defined. After deployment, the Identity Platform will be ready to authenticate users with the OIDC IdP.

```python
import pulumi
import pulumi_gcp as gcp

# OIDC Config resource for Google Identity Platform.
# Replace the following example values with the appropriate values from your OIDC provider.
oidc_config = gcp.identityplatform.OauthIdpConfig("oidc-config",
    name="my-oidc-config",  # The resource name within the Identity Platform.
    issuer="https://accounts.example.com/",  # The issuer URL for your OIDC identity provider.
    client_id="my-client-id",  # The client ID registered with your OIDC identity provider.
    # client_secret is sensitive and should be managed securely, potentially using Pulumi's secret management.
    client_secret=gcp.secret.Secret("oidc-client-secret",
        secret="my-client-secret"  # Replace with your actual client secret.
    ).id,
    enabled=True
)

# Export the name and issuer URL of the OIDC provider for reference.
pulumi.export("oidc_name", oidc_config.name)
pulumi.export("oidc_issuer", oidc_config.issuer)
```

Before running the program, ensure that you have set up and authenticated your Pulumi CLI with your GCP account. Replace the `issuer`, `client_id`, and `my-client-secret` with actual values from your OIDC provider. A real-world application would also handle the `client_secret` in a more secure manner, potentially using Pulumi's [secrets management](https://www.pulumi.com/docs/intro/concepts/secrets/) to keep sensitive information encrypted.

This program also exports `oidc_name` and `oidc_issuer` so that you can easily reference the OIDC configuration after it has been deployed.

To deploy this configuration, save the code to a file (e.g., `main.py`), ensure you've selected the correct GCP project in your Pulumi stack configuration, and then run `pulumi up` from your terminal.

As you continue to expand on your user management system, you can integrate additional Pulumi resources that correspond to the identity and access management features of your cloud provider or third-party services. Remember to review and adhere to the identity provider's specific integration guidelines and use secure practices for managing sensitive information like client secrets.