1. Identity and Access Proxy for AI APIs on Kubernetes

    Python

    To set up an Identity and Access Proxy for AI APIs on Kubernetes using Google Cloud Platform (GCP), you will be utilizing GCP's Identity-Aware Proxy (IAP), which controls access to your cloud applications and VMs running on Google Cloud. To implement IAP, you have to manage resources such as IAP Web Type resources (WebIamBinding, WebIamPolicy, WebIamMember) and possibly tunnel resources if you're accessing applications on VMs (TunnelIamBinding, TunnelIamMember).

    Here is how you would generally implement this:

    1. First, you'll need to create OAuth credentials in GCP.
    2. Then, you will configure the OAuth consent screen.
    3. You'll define the backend services or applications that you want to be accessible via IAP.
    4. After setting up your backend services, you enable IAP for these resources.
    5. You'll manage access by defining who has the roles/iap.httpsResourceAccessor role for the IAP-secured resources.

    Below you'll find a basic Pulumi program written in Python, which demonstrates how to set up IAM bindings for an IAP-secured Web application. We'll use a Web Type resource as an example, which typically includes App Engine apps, Compute Engine apps, or GKE apps behind a load balancer.

    import pulumi import pulumi_gcp as gcp # In a real-world scenario, the following details (project_id, resource_name) will be obtained dynamically or configured. project_id = 'your-gcp-project' resource_name = 'your-backend-service-name' # Define IAM Policy for Web Application resource to be accessed only by specific members. iap_web_iam_policy = gcp.iap.WebIamPolicy("iapWebIamPolicy", project=project_id, policy_data="""{ "bindings": [ { "role": "roles/iap.httpsResourceAccessor", "members": [ "user:your-user-email@gmail.com" ] } ] }""" ) pulumi.export('iap_web_iam_policy', iap_web_iam_policy.name)

    In this program:

    • We initialize a new IAM policy (WebIamPolicy) for a web type resource.
    • We assign the roles/iap.httpsResourceAccessor role to a single user, which you would replace with the relevant user(s) in your organization.

    You'll need to replace 'your-gcp-project', 'your-backend-service-name', and 'your-user-email@gmail.com' with actual values that pertain to your situation.

    Once this infrastructure is applied using Pulumi, the specified users will have access to the IAP-secured resources. It's important to note that your backend services must be set up correctly in GCP to use IAP.

    This is just a starting point to understand how to work with IAP and Kubernetes in GCP using Pulumi. As you advance, you might want to manage multiple members, integrate with GKE, use service accounts, and set up more complex policies.

    For further reading and understanding of how IAP works, please refer to Google Cloud's IAP documentation. For more details on the WebIamPolicy and other resources available via Pulumi for GCP, you can visit the Pulumi GCP documentation pages.


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