Amazon S3 Storage Lens adds performance metrics, support for billions of prefixes, and export to S3 Tables

Summary

The article discusses the latest enhancements to Amazon S3 Storage Lens, which now includes performance metrics, the ability to analyze billions of prefixes, and export options to S3 Tables. These features enable users to gain deeper insights into their storage performance and usage patterns, allowing for optimization of application performance and cost reduction. The new performance metrics help identify and mitigate performance constraints, while the expanded prefix metrics report allows for granular analysis across all prefixes, regardless of size or depth. Additionally, the integration with S3 Tables facilitates immediate querying of metrics without additional processing infrastructure.

Key Learnings

• 1Understanding how to enable and utilize the new performance metrics in S3 Storage Lens to identify and resolve performance issues.
• 2Recognizing the benefits of analyzing billions of prefixes for detailed insights into storage usage and performance.
• 3Learning how to export S3 Storage Lens metrics to S3 Tables for efficient querying and integration with other AWS analytics services.
• 4Identifying strategies to mitigate performance degradation caused by small object sizes and concurrent PUT operations.
• 5Exploring the implications of using S3 Tables for cross-account and cross-Region analysis of storage metrics.

Who Should Read This

Cloud Architects with intermediate experience looking to optimize AWS S3 storage strategies and performance metrics.

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