Object Storage for AI Datasets with OVH Cloud Archive

Question

Pulumi · Accepted Answer

To create an object storage solution for AI datasets that leverages OVH Cloud Archive, you would typically use their Object Storage service which provides a scalable and secure platform for storing large amounts of data that's not accessed frequently but needs to be retained over longer periods at lower costs. Unfortunately, we do not have a specific Pulumi provider for OVHcloud directly in the Pulumi Registry.

However, Pulumi does support many other cloud providers with Object Storage services like AWS S3, Google Cloud Storage, Azure Blob Storage, etc. You can use Pulumi to define and manage your infrastructure as code using any of these providers.

Since we don't have access to a specific Pulumi provider for OVHcloud, I'll guide you through how to set up a similar solution using AWS S3, which can serve as object storage for your AI datasets and integrate with an AWS Glacier storage class for archiving purposes.

Here's a Pulumi program in Python to create an S3 bucket with configured lifecycle rules to transition objects to Glacier for long-term archiving:

```python
import pulumi
import pulumi_aws as aws

# Create an AWS S3 bucket to store AI datasets
ai_datasets_bucket = aws.s3.Bucket("aiDatasetsBucket",
    lifecycle_rules=[
        aws.s3.BucketLifecycleRuleArgs(
            enabled=True,
            id="archiveRule",
            transitions=[
                aws.s3.BucketLifecycleRuleTransitionArgs(
                    days=30,  # Number of days after creation when items are transitioned
                    storage_class="GLACIER"
                )
            ],
            expiration=aws.s3.BucketLifecycleRuleExpirationArgs(
                days=365  # Objects are expired/deleted from the bucket after this many days
            )
        )
    ])

# Export the bucket name and ARN to be accessed easily
pulumi.export('bucket_name', ai_datasets_bucket.id)
pulumi.export('bucket_arn', ai_datasets_bucket.arn)
```

This program uses the `pulumi_aws` provider to create a new S3 bucket with a lifecycle rule that will automatically transition objects to Glacier after 30 days for cost-effective long-term storage. Objects are set to expire after 365 days, at which point they are permanently deleted from the bucket.

Remember to set up your AWS credentials and configure Pulumi with the appropriate AWS region before running this program.

If you want to work specifically with OVH Cloud Archive and they offer an S3-compatible API, you could still use the `pulumi_aws` provider to interact with their service. You'd only need to provide a custom endpoint for the S3 API. Refer to OVHcloud's documentation or support to see if that is a viable solution.