Analyze access patterns and use the most cost-effective Amazon S3 storage class

The article explains how to use Amazon S3 Storage Class Analysis to analyze access patterns for data stored in S3 and transition it to the most cost-effective storage class based on its usage.

Specifically, the article covers:

• Enabling S3 Storage Class Analysis to generate reports on access patterns
• Analyzing the reports to identify predictable vs. unpredictable access patterns
• For predictable patterns, using S3 Lifecycle policies to move infrequently accessed data to Glacier storage classes
• For unpredictable patterns, using S3 Intelligent-Tiering which automatically moves data between tiers based on access
• Calculating potential cost savings and one-time transition costs
• Tips to get precise data using S3 Inventory and Amazon Athena
• Conclusion on optimizing S3 storage costs based on access patterns