Transition data to cheaper storage based on custom filtering criteria with Amazon S3 Lifecycle

This article provides a solution to optimize storage costs on AWS by transitioning specific file types (e.g., CSV files) to cheaper S3 storage classes using Amazon S3 Lifecycle rules and S3 Batch Operations.

Specifically, the article covers:

• Solution overview: Using S3 Batch Operations to tag objects of a specific file type (e.g., CSV), and then using that tag in an S3 Lifecycle rule to transition those objects to a cheaper storage class.
• Prerequisites: An AWS account, S3 bucket with objects, IAM role with necessary permissions, and understanding of S3 Batch Operations.
• Step-by-step walkthrough: Creating an S3 Batch Operations job, finding the number of objects to be transitioned, running the job to tag objects, and creating an S3 Lifecycle rule to transition tagged objects.
• Considerations: Troubleshooting S3 Lifecycle issues, and accounting for tagging and Batch Operations costs.
• Cleanup: Deleting the S3 Lifecycle rule.
• Conclusion: This solution allows customizing S3 Lifecycle rules based on specific needs, enabling effective and cost-efficient storage management.