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Release v0.1

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@XiaoningDing XiaoningDing released this 04 Apr 04:52
· 542 commits to master since this release
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This release is the first release of the project. It includes the following new components:

  • Unified Node Agent
  • Unified Scheduler
  • Partitioned and Scalable Controller Manager
  • API Server with Multi-Tenancy and Unified Pod Support
  • Arktos VM Runtime Server

Key Features and Improvements:

  • Multi-tenancy

    • Introduce a new layer “tenant” before “namespace” in API resource URL schema, to provide a clear and isolated resource hierarchy for tenants.
    • Introduce a new API resource “tenant”, to keep tenant-level configurations and properties.
    • The metadata section of all exiting API resources has a new member: tenantName.
    • API Server, ClientGo, Scheduler, Controllers and CLI changes for the new resource model.
  • Unified VM/Container:

    • Extend “pod” definition to both containers and VM. Now a pod can contain one VM, or one or more containers.
    • Enhance scheduler to schedule container pods and VM pods in the same way (unified scheduling).
    • Enhance kubelet to support multiple CRI runtimes (unified agent).
    • Implement a VM runtime server evolved from project Virtlet, with new features like VM reboot, snapshot, restore, etc.
    • Enhance kubelet to handle VM state changes and configuration changes.
    • Introduce a new API resource “action” and the corresponding handles (action framework) to support some VM specific actions which are not appropriate to be expressed as state machine changes, like reboot and snapshot.
    • Artkos Integration with OpenStack Neutron.
    • Arktos integration with Mizar.
  • Scalability

    • Implement a controller framework that supports multiple controller instances running in active-active mode.
    • Add a new component "workload controller manager" to host controllers migrated to the new framework. In this release it includes replicaset controller and deployment controller.
    • Support preliminary workload auto rebalancing based on the number of controller instances that are currently running.
    • Implement filter by range in API server to support multiple controller instances without increasing traffic.
    • API Server data partitioning (partial support).