Abstract: Techniques are described for managing compute and storage resources in a container-based, multi-tenant, computing infrastructure. In some implementations, a plurality of containers may each execute an instance of a software framework. Each container may include compute capacity and storage capacity according to the executed framework. Containers may be allocated among clusters in a multi-tenant, cloud-based computing environment based on measured demand for compute capacity and/or storage capacity in the various clusters. In some implementations, a scheduler (e.g., a Level 2 scheduler, or a scheduler of schedulers) determines whether to move compute containers between clusters within a multi-tenant environment, to provide performance improvements, resource utilization efficiency, and cost reduction within the data center, and to satisfy tenant requests for compute and/or storage resources.

Abstract: Techniques are described for managing compute and storage resources in a container-based, multi-tenant, computing infrastructure. In some implementations, a plurality of containers may each execute an instance of a software framework. Each container may include compute capacity and storage capacity according to the executed framework. Containers may be allocated among clusters in a multi-tenant, cloud-based computing environment based on measured demand for compute capacity and/or storage capacity in the various clusters. In some implementations, a scheduler (e.g., a Level 2 scheduler, or a scheduler of schedulers) determines whether to move compute containers between clusters within a multi-tenant environment, to provide performance improvements, resource utilization efficiency, and cost reduction within the data center, and to satisfy tenant requests for compute and/or storage resources.