Assigning Resource Policies for OCI AI Workloads

Question

Pulumi · Accepted Answer

To manage Oracle Cloud Infrastructure (OCI) resources with Pulumi, you would typically use the `pulumi_oci` provider, which allows you to interact with OCI services. Resource policies in OCI are used to control access to and permissions for OCI resources, such as AI services.

Resource policies are usually set up using OCI Identity and Access Management (IAM) service to define who has what type of access to your resources. These resources include things like compartments, users, groups, and policies themselves.

While the provided Pulumi Registry Results don't include a specific Pulumi OCI provider or directly mention AI workload-specific policies, I can guide you through creating a compartment and applying a general policy to that compartment, which is a common pattern for structuring access control in OCI.

For AI workloads, you would want to ensure that the policies reflect the access requirements of services like OCI Data Science or OCI AI Services. However, Pulumi currently does not directly support AI-specific policies or services in its Registry.

Here's an example of how to create an OCI compartment and assign a basic policy to it. Remember that before you apply this Pulumi code, you need to be authenticated to OCI and have appropriate permissions set up for creating compartments and policies.

```python
import pulumi
import pulumi_oci as oci

# Create a new compartment
ai_compartment = oci.identity.Compartment("aiCompartment",
    description="Compartment for AI Workloads",
    name="AI_Compartment",
    # Assuming you have the tenancy OCID available to place the compartment within
    compartment_id=pulumi.config.Config().require("tenancy_ocid")
)

# Define a policy statement that grants manage access to AI services within the compartment
ai_policy_statements = [
    "Allow group AIAdmins to manage ai-family in compartment AI_Compartment"
]

# Create a new policy within the compartment that includes the AI policy statements
ai_policy = oci.identity.Policy("aiPolicy",
    compartment_id=ai_compartment.id,
    description="Policy for managing AI services",
    name="AIPolicy",
    statements=ai_policy_statements
)

# Output the compartment and policy OCIDs
pulumi.export("ai_compartment_id", ai_compartment.id)
pulumi.export("ai_policy_id", ai_policy.id)
```

In this code, we've created a Pulumi program that sets up a compartment specifically for AI workloads by creating a compartment named `AI_Compartment` and a policy named `AIPolicy`. The policy includes a statement which would allow members of the group `AIAdmins` to manage resources within the `ai-family` services (a placeholder for whichever services you'd want to include) that are in the `AI_Compartment` compartment.

This code is simply illustrative; in real-world scenarios, you'd tailor the compartment design and policy statements to fit the specific access needs of your organization's AI workloads. You would also need to have the `AIAdmins` group and its members properly set up in OCI's IAM service.

Please adapt the policy content appropriately for your OCI AI workloads, ensuring it meets the required permissions for the specific services you're using.