Organizations increasingly depend on cloud object storage for various tasks, but the growing complexity and volume of data present challenges in understanding and optimizing storage utilization. Datadog Storage Management addresses these issues by offering detailed insights into Amazon S3 and Google Cloud Storage with both bucket- and prefix-level analytics, allowing teams to detect problems like unexpected costs or performance issues before they impact operations. The platform provides metrics for storage consumption, object count distribution, latency patterns, and request volumes, helping users quickly identify and troubleshoot potential issues. Prefix-level analytics enable a more granular understanding of data organization, performance, and costs, allowing for better management of application performance and storage expenses. By tracking metrics such as prefix growth rates and object update frequencies, organizations can optimize data organization and ensure efficient data flow in their pipelines. Datadog Storage Management thus empowers teams to make informed decisions about storage optimization, enhancing visibility and reliability in their cloud storage infrastructures.