As organizations expand their cloud operations, managing object storage costs and performance becomes critical, especially with the vast amounts of data generated by AI and data-intensive workloads. Datadog Storage Management provides a solution by offering visibility and optimization tools across Amazon S3, Google Cloud Storage, and Azure Blob Storage, focusing on cost and performance optimization and operational efficiency. The tool provides prefix-level metrics for Amazon S3, enabling users to manage life cycle and retention policies, quickly identify cost-saving opportunities, and resolve performance bottlenecks by pinpointing high-traffic prefixes. For instance, it can highlight data that is rarely accessed and better suited to lower-cost storage tiers like Glacier, or identify hot prefixes that cause latency issues, thereby allowing for better workload distribution. This granular visibility into storage usage patterns and configurations allows organizations to make informed decisions, ensuring efficient cloud storage management. Datadog Storage Management is available for Amazon S3 and includes object size metrics for Google Cloud Storage and Azure Blob Storage, with additional request-related metrics for these platforms expected soon.