Amazon S3 Storage Lens adds performance metrics, support for billions of prefixes, and export to S3 Tables
AWS News Blog
This article announces three new capabilities for Amazon S3 Storage Lens that enhance storage performance visibility and analytics.
- Eight new performance metric categories identify bottlenecks at organization, account, bucket, and prefix levels
- Metrics include read/write request sizes, storage size, concurrent PUT 503 errors, and cross-region transfers
- Expanded prefixes metrics report now supports billions of prefixes without size or depth limitations
- S3 Storage Lens metrics can be automatically exported to S3 Tables for SQL querying
- Integration with Amazon Athena, QuickSight, EMR, and Redshift enables advanced analytics
- All features available in Advanced tier at no additional charge beyond standard pricing
These enhancements enable organizations to optimize S3 performance, reduce costs, and gain granular visibility across their entire storage infrastructure using familiar analytics tools.
The AWS News Feed is currently looking for gold sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.
Related articles
Dec 2
2025
2025
Amazon S3 Storage Lens adds performance metrics, support for billions of prefixes, and export to S3 Tables
Dec 2
2025
2025
Amazon S3 Batch Operations introduces performance improvements
Jun 26
2026
2026
Gain workload-specific storage insights with Amazon S3 Storage Lens groups
Dec 2
2025
2025
Amazon S3 Vectors now generally available with increased scale and performance
The AWS News Feed is currently looking for silver sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.