CodeArtifact as a Repository for AI Deployment Packages

Question

Pulumi · Accepted Answer

AWS CodeArtifact is a fully managed artifact repository service that makes it easy for organizations to securely store, publish, and share software packages used in their software development process. When setting up CodeArtifact for AI deployment packages, we'll define a domain which serves as a logical grouping of repositories. Then, we'll create a repository within that domain to store the actual AI packages.

### Step 1: Create a CodeArtifact Domain
A domain is used to aggregate and manage multiple repositories. You will need to specify a `domainName`, and you can optionally define `tags` or an `encryptionKey` if you want to encrypt your domain with a customer-managed AWS KMS key.

### Step 2: Create a CodeArtifact Repository within the Domain
Once a domain is established, you can create a repository in that domain to store your AI deployment packages. You should name your repository (`repositoryName`) to reflect the type of packages it will hold, for example, `ai-models`.

Let's set up a Pulumi program in Python to accomplish this. The Pulumi AWS provider offers resources corresponding to AWS CodeArtifact entities.

### Python Pulumi Code for Setting Up CodeArtifact

```python
import pulumi
import pulumi_aws as aws

# Step 1: Create a CodeArtifact Domain for your AI packages
ai_domain = aws.codeartifact.Domain("aiDomain",
    domain_name="ai-deployment-domain",
    # Optionally, add tags or KMS encryption key
    tags={
        "purpose": "AI Deployment Packages",
    })

# Step 2: Create a CodeArtifact Repository within the Domain
ai_repository = aws.codeartifact.Repository("aiRepository",
    repository_name="ai-models",
    domain=ai_domain.domain_name,
    # Optionally, specify upstreams, description, domain owner
    description="Repository for AI deployment packages"
)

# Export the domain and repository ARNs
pulumi.export("domain_arn", ai_domain.arn)
pulumi.export("repository_arn", ai_repository.arn)
```

In the code above, we've created a CodeArtifact domain with `pulumi_aws.codeartifact.Domain` and specified its name with `domain_name`. Next, we created a repository with `pulumi_aws.codeartifact.Repository`. The repository is associated with the domain we created and is named `ai-models`.

The `tags` parameter is used to add metadata to resources, which can help with organization and cost allocation. The `description` property describes the purpose of the repository.

Exported values are ARNs (Amazon Resource Names) of the domain and repository, which can be used to reference these resources in other parts of your AWS infrastructure or Pulumi programs.

This program, once applied with Pulumi, will set up AWS CodeArtifact service for AI deployment packages, automating the infrastructure setup required for managing your software artifacts.