Datadog launches storage management to help teams eliminate unnecessary cloud object storage

Datadog launched storage management, which helps teams eliminate waste and prevent unexpected cloud object storage spend. The new product is now generally available for Amazon S3, with previews available for Google Cloud Storage and Azure Blob Storage.

Growing cloud object storage usage from data-intensive and AI workloads—including large-scale training datasets, model artifacts and inference logs—has led to a rapid rise in cloud storage costs. Effectively managing these costs has become a key challenge for operations and cloud efficiency teams, many of which struggle to identify the workloads or stakeholders that are driving costs within large, shared buckets. These teams also regularly lack the granular context across metadata and access patterns that is needed to enforce lifecycle or tiering policies effectively.

As a result, uncovering specific savings opportunities—such as transitioning cold data from expensive storage classes, deleting duplicate objects or stopping the accumulation of non-current ...