Versioned Data Sets for AI with MinIO's Bucket Versioning

Question

Pulumi · Accepted Answer

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).

```python
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.