---
title: Storage Management
description: Datadog, the leading service for cloud-scale monitoring.
breadcrumbs: Docs > Infrastructure > Storage Management
---

# Storage Management

## Overview{% #overview %}

Storage Management for Amazon S3, Google Cloud Storage, and Azure Blob Storage provides deep, prefix-level analytics to help you understand exactly how your storage is being used. With Storage Management you can:

- **Pinpoint where spend is coming from in your bucket**: Break storage cost to the prefix so you know which workloads, teams, or environments drive growth.
- **Identify cold data**: Spot buckets with rarely accessed prefixes, and move cold data to lower-cost tiers.
- **Tune retention and lifecycle rules with data**: Read/write and age metrics show when objects were last used, so you can shift unused prefixes to Glacier, Intelligent-Tiering, and other low-cost classes.
- **Monitor data freshness**: Age metrics show how recently each prefix was updated, so you can confirm that backups and other time-sensitive data are landing in prefixes when they should.

You can access Storage Management in Datadog by navigating to **Infrastructure** > [**Storage Management**](https://app.datadoghq.com/storage-management).

Use the guides below to set up Storage Management in Datadog for your cloud storage service.

- [Amazon S3](https://docs.datadoghq.com/infrastructure/storage_management/amazon_s3)
- [Google Cloud Storage](https://docs.datadoghq.com/infrastructure/storage_management/google_cloud_storage)
- [Azure Blob Storage](https://docs.datadoghq.com/infrastructure/storage_management/azure_blob_storage)