Feature Overview

Datadog Storage Monitoring delivers granular visibility into your buckets and prefixes, enabling you to eliminate unnecessary costs and prevent unexpected spend. Identify cost drivers, spot unusual growth, fine-tune retention and life cycle policies, and accelerate savings with targeted recommendations—like archiving cold data or removing outdated object versions.

Generally available: Amazon S3
Preview: Azure Blob Storage, Google Cloud Storage

Pinpoint cost drivers in your storage buckets

Spot buckets with the largest shifts in cost and request activity
Analyze prefixes by size, object count, and estimated cost
Determine which workloads, teams, and environments are driving growth and drill into the prefix with a single click

Confidently move cold data to lower-cost storage classes

Correlate cost, usage, and configuration data across buckets and prefixes in one unified view
Use access frequency, read/write activity, and object age to identify cold or duplicate data
Uncover gaps in life cycle or retention policies

Accelerate savings with granular recommendations

Identify which prefixes to archive, re-tier, or delete
Use estimated savings and clear criteria to drive action and alignment with stakeholders
Push recommendations into Jira to track progress and accountability