1. Centralized AI Model Repository on AWS ECR


    To create a centralized AI Model Repository on AWS using Amazon Elastic Container Registry (ECR), you would need to establish a repository for storing container images, ensure thorough image scanning for vulnerabilities, and configure appropriate access policies.

    Here's what each Pulumi resource does in this context:

    • aws.ecr.Repository: Creates an ECR repository to store Docker container images. These images can be of your AI models which are containerized.
    • aws.ecr.RepositoryPolicy: Manages access control to the ECR Repository by using IAM policies.
    • aws.ecr.ReplicationConfiguration: Configures replication so that your images can be synchronized across multiple AWS regions for high availability or other reasons.

    Now, let's set up an ECR repository, apply a repository policy to manage access, and configure replication for availability in multiple regions. Below is the Pulumi program in Python that achieves these goals:

    import pulumi import pulumi_aws as aws # Create an ECR Repository to store AI models ai_model_repo = aws.ecr.Repository("aiModelRepo", image_scanning_configuration=aws.ecr.RepositoryImageScanningConfigurationArgs( scan_on_push=True, # Enable scanning of images on push for vulnerabilities ), image_tag_mutability="MUTABLE", # Allows tags to be overwritten ) # Define a repository policy - replace 'policy_json' with your actual policy repo_policy = { "Version": "2012-10-17", "Statement": [{ "Sid": "AllowPushPull", "Effect": "Allow", "Principal": "*", # Define principals appropriately "Action": [ "ecr:GetDownloadUrlForLayer", "ecr:BatchGetImage", "ecr:BatchCheckLayerAvailability", "ecr:PutImage", "ecr:InitiateLayerUpload", "ecr:UploadLayerPart", "ecr:CompleteLayerUpload", ], "Resource": f"{ai_model_repo.arn}", }] } # Apply the repository policy to the ECR Repository ai_model_repo_policy = aws.ecr.RepositoryPolicy("aiModelRepoPolicy", policy=pulumi.Output.from_input(repo_policy).apply(pulumi.json.encode), repository=ai_model_repo.name, ) # Replication configuration example to replicate to us-east-1 replication_config = aws.ecr.ReplicationConfiguration("aiModelRepoReplication", replication_configuration=aws.ecr.ReplicationConfigurationReplicationConfigurationArgs( rules=[ aws.ecr.ReplicationConfigurationReplicationConfigurationRuleArgs( destinations=[ aws.ecr.ReplicationConfigurationReplicationConfigurationRuleDestinationArgs( region="us-east-1", registry_id=aws.get_caller_identity().account_id, ), ], ), ], ), repository=ai_model_repo.name, ) # Export the repository URL pulumi.export("repository_url", ai_model_repo.repository_url) # Export the replication status pulumi.export("replication_status", replication_config.status)

    This Pulumi program performs the following actions:

    1. It creates an ECR repository named aiModelRepo, which will host your AI model images.
    2. It enables scanning on pushing the images to the repository, a security best practice.
    3. It sets the image tag mutability to 'MUTABLE', which allows image tags to be overwritten; depending on your workflow, you may choose 'IMMUTABLE' to prevent overwriting.
    4. It defines a repository policy to control access to the repository operations such as uploading and downloading images. The example policy grants wide permissions for example purposes; you should restrict the Principal to relevant IAM entities in your environment.
    5. It applies the repository policy to your ECR repository.
    6. It sets up a replication configuration to replicate the images to another AWS region, providing higher availability and reducing latency for users in different geographic areas. In this example, we replicate to the us-east-1 region, and you would use your account ID.
    7. Finally, the program exports the repository URL and the replication status as outputs. The repository URL can be used in your CI/CD pipelines to push or pull images, and the replication status provides insight into the replication configuration's operational status.

    Replace 'policy_json' with your actual IAM policy JSON. Ensure the Principal is set correctly to specify who can access the repository. Replace 'us-east-1' and other arguments with the proper values according to your requirements.