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  • They implement the Kubernetes community’s Machine API, allowing users to declaratively configure and consistently deploy and lifecycle manage Kubernetes clusters no matter whether on-prem or on public cloud, on VMs or on bare metal, at the edge or at the core.
  • Leverage the community’s Operator Framework for automated and secure lifecycle management of applications in the edge computing stack. Operators allow applications to be lifecycle managed as Kubernetes resources, in event-driven manner, and fully RBAC-controlled. They may provide more than deployment and upgrade actions for an application, e.g. auto-reblancing/scaling, analytics, and usage metering, and may be created from Helm Charts, using Ansible or Go.
  • Optimize for Kubernetes-native container workloads, but allow mixing in VM-based workloads via KubeVirt as needed.

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