Secure OCI Functions for AI Workloads with IAM Policies

Question

Pulumi · Accepted Answer

Creating secure Oracle Cloud Infrastructure (OCI) functions for AI workloads involves setting up an execution environment for your functions, defining the functions themselves, and assigning the appropriate Identity and Access Management (IAM) policies to control access and permissions.

Here, I will guide you through the setup using Pulumi's Python SDK. We'll define IAM policies to ensure that only authorized entities can invoke or manage these functions.

First, let's make sure you understand some of the key components:

- **OCI Functions:** This is a serverless platform that lets you run code without managing infrastructure. With Functions, you write your code and deploy it without worrying about the underlying servers.

- **IAM Policies:** These are documents that define permissions and are attached to users or groups, defining what actions they can perform on resources.

Given that Pulumi does not have a native provider for Oracle Cloud Infrastructure at the time of writing, we'll use the AWS IAM resources as an example to illustrate how you would secure your functions. You would need to use the Oracle Cloud Infrastructure SDK or CLI to manage Oracle-specific resources directly, or use a custom provider if available.

Let's outline the general steps you would take:

1. Define the serverless function.
2. Create an IAM policy that specifies which principals (users, groups, roles) have what permissions on that function.
3. Attach that IAM policy to the function or the principals that need access.

Below is a Pulumi program in Python that hypothetically sets up a secure AWS Lambda function with an IAM policy:

```python
import pulumi
import pulumi_aws as aws

# Step 1: Define the serverless function.
# For your case, this would be an OCI function, but here we show you an example with AWS Lambda.
lambda_role = aws.iam.Role("lambdaRole",
    assume_role_policy="""{
        "Version": "2012-10-17",
        "Statement": [{
            "Action": "sts:AssumeRole",
            "Effect": "Allow",
            "Principal": {"Service": "lambda.amazonaws.com"}
        }]
    }""")
    
# This would point to the code for your AI workload.
lambda_function = aws.lambda_.Function("myLambdaFunction",
    code=pulumi.AssetArchive({
      '.': pulumi.AssetArchive('./path-to-lambda-code')
    }),
    role=lambda_role.arn,
    handler="index.handler",
    runtime="python3.8")

# Step 2: Define the IAM policy for accessing the function.
lambda_policy_document = aws.iam.get_policy_document(statements=[{
    "Effect": "Allow",
    "Action": [
        "lambda:InvokeFunction",
        "lambda:GetFunction"
    ],
    "Resource": [lambda_function.arn],
}])

lambda_policy = aws.iam.Policy("lambdaPolicy",
    policy=lambda_policy_document.json)

# Step 3: Attach the IAM policy to a user, group, or role to grant them the specified permissions.
lambda_policy_attachment = aws.iam.RolePolicyAttachment("lambdaPolicyAttachment",
    role=lambda_role.name,
    policy_arn=lambda_policy.arn)

# Output the ARN of the Lambda Function so it can be easily retrieved
pulumi.export('lambda_function_arn', lambda_function.arn)
```

In the program above:

- We first create a role that our Lambda function will use to execute. The role's trust relationship allows the Lambda service to assume this role.
- We then define the Lambda function and point it to the location of our code, which would contain the logic for our AI workload.
- Next, we create an IAM policy document that specifies the permissions that any principal will need to interact with our Lambda function.
- We create an IAM policy resource using this policy document.
- Finally, we attach this IAM policy to the Lambda role.

If you were working with OCI rather than AWS, you would have similar concepts but with different resources unique to Oracle Cloud. You would define OCI functions and use OCI's IAM policies to secure them.

Remember to replace example values (`./path-to-lambda-code`, `exampleUser`, etc.) with actual values relevant to your use case.

Please note, the program above is hypothetical and meant for educational purposes to illustrate how you could approach securing serverless functions with IAM policies using Pulumi. For Oracle Cloud Infrastructure specifically, you would need to use OCI-specific resources or tools.