Datadog Storage Management offers a comprehensive solution for managing cloud object storage costs and efficiency, particularly as data scales to petabyte levels. It provides granular visibility into which teams, services, workloads, or datasets are driving storage expenses and identifies cold data that can be archived to cheaper tiers. By leveraging prefix-level metrics, organizations can attribute expenses directly to specific cost drivers, such as database tables or media workload prefixes, and make informed decisions to optimize storage. Storage Management also delivers actionable cost-saving recommendations, allowing users to transition data to more economical storage classes, implement expiration rules, and consolidate small files to reduce overhead. A practical example is provided where a DevOps team used Storage Management to investigate a sudden 40% increase in their AWS bill, identifying inefficiencies and potential savings by consolidating small files and transitioning older logs to infrequent access tiers. This tool empowers users to confidently manage storage policies, reduce costs, and maintain performance without compromising compliance.