Gain workload-specific storage insights with Amazon S3 Storage Lens groups
Storage Blog
This article explains how to use Amazon S3 Storage Lens groups to gain workload-specific storage insights by creating custom object groupings based on metadata filters.
- S3 Storage Lens groups extend standard visibility by filtering objects using tags, prefixes, suffixes, object size, and age
- Three-step process: create groups with custom filters, attach to dashboards, visualize metrics after up to 48 hours
- Use Case 1: Identify logs older than 90 days and larger than 128 KB tagged as "datatype: logs" to plan S3 Glacier transitions
- Use Case 2: Filter image files (.jpg, .png, .jpeg) older than 1 year across multiple buckets for archival planning
- Automate group creation using AWS CLI or SDKs for DevOps pipelines
- Default quota of 50 groups per region per account; supports up to 15 months of historical data
S3 Storage Lens groups empower DevOps teams, media companies, and healthcare organizations to make informed data management decisions by providing targeted visibility into specific object subsets.
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