1. Versioned Data Sets for AI with MinIO's Bucket Versioning


    To set up versioned data sets for AI with MinIO's bucket versioning, we'll create an S3-compatible bucket using MinIO and enable versioning on it. Pulumi doesn't have direct support for MinIO, but since MinIO is S3-compatible, we can use the Pulumi AWS provider to work with MinIO by configuring the S3 endpoint to point to the MinIO service.

    Here's what we're going to do:

    1. Create a new bucket using the Bucket resource from Pulumi's AWS provider.
    2. Enable versioning on the bucket by using the BucketVersioning resource.

    This will establish a solid foundation for storing AI data sets, where each version of the data set is preserved and can be retrieved or activated as necessary. Data versioning is crucial for experiments and tracking changes in machine learning workflows.

    Before running this program, ensure you have the Pulumi CLI installed, along with Python, and have configured your AWS credentials (or MinIO credentials posing as AWS credentials).

    import pulumi import pulumi_aws as aws # Replace these with the appropriate values for your MinIO setup. minio_endpoint = 'http://minio.yourdomain.com:9000' # Your MinIO service endpoint aws_access_key_id = 'MINIOACCESSKEY' # Your MinIO access key aws_secret_access_key = 'MINIOSECRETKEY' # Your MinIO secret key # Configure the Pulumi program to use the MinIO endpoint with AWS S3 compatible settings aws_provider = aws.Provider('minio_provider', endpoint=minio_endpoint, access_key=aws_access_key_id, secret_key=aws_secret_access_key, s3_force_path_style=True, skip_credentials_validation=True, skip_metadata_api_check=True, skip_requesting_account_id=True) # Create a new private bucket with versioning enabled bucket = aws.s3.Bucket('ai-data-sets-bucket', acl='private', versioning=aws.s3.BucketVersioningArgs( enabled=True, ), opts=pulumi.ResourceOptions(provider=aws_provider)) # Export the name and endpoint URL of the bucket pulumi.export('bucket_name', bucket.id) pulumi.export('bucket_endpoint', pulumi.Output.concat(minio_endpoint, '/', bucket.id))

    In the code above, we are initializing a Pulumi program in Python that sets up an S3 bucket using AWS provider configured to interface with MinIO. The Bucket resource creates a new bucket, and BucketVersioning sets the versioning attribute to True, enabling versioning for that bucket.

    To use this code:

    • Replace minio.yourdomain.com:9000, MINIOACCESSKEY, and MINIOSECRETKEY with the actual endpoint, access key, and secret key of your MinIO setup. These are merely placeholders.
    • Run the code using Pulumi CLI commands like pulumi up after saving the code to a file, for instance main.py.
    • This Pulumi program will provision the resources on MinIO.

    Once this code runs successfully, MinIO will have a versioned bucket where you can store versioned data sets, and this setup can serve as part of your AI/ML infrastructure.