Abstract: Techniques discussed herein include providing a cloud computing environment in which applications are deployed using virtual-machine-based virtualization with a static pool of computing nodes (e.g., substrate nodes, overlay nodes) and container-based virtualization with a dynamic pool of computing nodes (e.g., nodes managed by a container orchestration platform). The control plane functionality may be invoked by a deployment orchestrator (e.g., using a client of the container orchestration platform). In some embodiments, the control plane may include a set of applications that are configured to communicate with core services for certificate generation and rotation, namespace and quota management, metric monitoring and alarming, node authentication, and cluster membership management.

Abstract: Techniques discussed herein include providing a cloud computing environment in which applications are deployed by a deployment orchestrator using virtual-machine-based virtualization with a static pool of computing nodes (e.g., substrate nodes, overlay nodes) and container-based virtualization with a dynamic pool of computing nodes (e.g., nodes managed by a container orchestration platform). Components of a data plane may be used to deploy containers to micro-virtual machines. A container runtime interface (CRI) may receive a deployment request from the deployment orchestrator. A container networking interface of the data plane may configure network connections and allocate an IP address for the container. A container runtime of the data pane may generate and configure the container with the IP address and run the container within a micro-virtual machine that is compatible with the container orchestration platform.

Abstract: One variation of a system for implementing a key-value data store includes one or more processors, storage media and instructions stored in the storage media which, when executed by the system cause the system to: receive a request store a particular key-value item; request a first networked distributed data storage system to store the particular key-value item; based on a determination that a set of one or more offload criteria is satisfied: retrieve a first set of key-value items from the first networked distributed data storage system, and request a second networked distributed data storage system to store the first set of key-value items in a first set of one or more data objects. The first networked distributed data storage system can have a lower data write latency and a higher data storage cost than the second networked distributed data storage system.

Abstract: One variation of a system for implementing a key-value data store includes one or more processors, storage media and instructions stored in the storage media which, when executed by the system cause the system to: receive a request store a particular key-value item; request a first networked distributed data storage system to store the particular key-value item; based on a determination that a set of one or more offload criteria is satisfied: retrieve a first set of key-value items from the first networked distributed data storage system, and request a second networked distributed data storage system to store the first set of key-value items in a first set of one or more data objects. The first networked distributed data storage system can have a lower data write latency and a higher data storage cost than the second networked distributed data storage system.