Exuberant industry adoption has proliferated S3 widely across client commercial applications, as well as deep within on-premise compute, storage, database and business analytic micro-services, while continuing robust growth across hybrid, cloud, and multi-cloud deployments. Much of this growth has been demanded by a wide spectrum of end-customers, who desire rapid innovation, yet expect flawless and seamless S3 interoperability, regardless of which application or storage vendor who provides the service.

As data center IO workloads grow and diversify, the various IO Performance tools commonly found in industry, both new and old, are adding power measurement metrics along with the performance IO metrics. Learn about SPEC, ML Commons, and other open source IO performance tools and their extensions and applicability to types of workloads.