1. Enforcing Governance and Cost Controls on AI Resources


    Governance and cost controls are critical aspects when managing your AI resources in the cloud. By implementing robust governance, you ensure that your resources adhere to organizational policies and best practices, thus avoiding unnecessary costs and maintaining compliance. Pulumi provides infrastructure as code (IaC) capabilities to define and enforce these controls as part of your cloud resource provisioning.

    In the context of this goal, the focus will be on defining governance and cost controls on AI resources in a given cloud provider. We can use different cloud resources for this, but for our example, let's assume we are using Google Cloud Platform (GCP). We will be using the google-native.orgpolicy/v2.OrganizationPolicy Pulumi resource which enables us to set organizational policies. These policies can define constraints on how resources within the organization can be used.

    Here is a Python program using Pulumi that demonstrates how you can set an organization policy to enforce governance and cost controls on AI resources:

    import pulumi import pulumi_gcp as gcp # Create a rule that enforces only certain machine types can be used for AI instances # to ensure cost control. Replace 'your-org-id' with your actual Google Cloud organization ID. organization_policy = gcp.orgpolicy.Policy("ai-resource-usage-policy", constraint="constraints/compute.restrictVmExternalAccess", organization_id="your-org-id", boolean_policy=gcp.orgpolicy.PolicyBooleanPolicyArgs( enforced=True, )) # Export the policy ID so that you can verify it through the Google Cloud console or CLI pulumi.export('policy_id', organization_policy.id)

    In the program above, the gcp.orgpolicy.Policy resource creates an organization policy. The constraint field specifies the type of constraint applied by the policy, which in this case, restricts external access to VM instances being used for AI workloads to control costs. Setting enforced to True ensures that the policy is actively enforced across the organization's resources.

    Be sure to replace 'your-org-id' with the actual ID of your organization in GCP.

    You would need the Pulumi GCP plugin installed and configured credentials to run this code, with appropriate permissions to manage organization policies in your GCP environment.

    This resource is one example of how governance can be enforced programmatically through Pulumi; policies can be created at different levels (organization, folder, project) and for various services to meet your organization's requirements. Be aware that the actual constraints and usage will vary depending on your cloud provider (AWS, Azure, GCP, etc.) and the services you use.