1.4 版。此版本全面受支持,针对影响 GKE On-Prem 的安全漏洞、曝光和问题提供了最新补丁程序及更新。如需了解详情,请参阅版本说明。这不是最新版本

集群 API 资源

本页面概述了 GKE On-Prem 中使用的 Kubernetes Cluster API 资源。

概览

GKE On-Prem 支持以下 Cluster API 资源:

  • 集群
  • 机器
  • MachineDeployment
  • MachineSet
  • MachineClasses

GKE On-Prem 会在安装过程中自动在集群中生成这些资源;一般而言,您无需直接与其互动。此外,GKE On-Prem 文档会引用这些资源来说明高可用性等概念。

您可以查看集群中的可用 Cluster API CustomResourceDefinition (CRD)

kubectl get crds | grep "cluster.k8s.io"
clusters.cluster.k8s.io
machineclasses.cluster.k8s.io
machinedeployments.cluster.k8s.io
machines.cluster.k8s.io
machinesets.cluster.k8s.io

下面几个部分讨论了目前与了解 GKE On-Prem 相关的 Cluster API 资源。

集群

Cluster 资源表示在主机上运行的 Kubernetes 实例。所有 GKE On-Prem 集群都有一个描述集群的 Cluster 资源。

如需查看集群中的 Cluster 资源,请运行以下命令,其中 [KUBECONFIG] 是集群的 kubeconfig 文件的路径:

kubectl get clusters --kubeconfig [KUBECONFIG]

下面是您可能会在 GKE On-Prem 用户集群中看到的 Cluster 资源示例:

apiVersion: cluster.k8s.io/v1alpha1
kind: Cluster
metadata:
  annotations:
    addons.gke.io/loadbalancerip: ""
    bundle.gke.io/target-version:
    bundle.gke.io/version:
    onprem.gke.io/provider: vsphere
  creationTimestamp:
  finalizers:
  - cluster.cluster.k8s.io
  generation:
  name: example-user-cluster
  namespace: default
  resourceVersion: ""
  selfLink: /apis/cluster.k8s.io/v1alpha1/namespaces/default/clusters/example-user-cluster
  uid:
spec:
  clusterNetwork:
    pods:
      cidrBlocks:
      -
    serviceDomain: cluster.local
    services:
      cidrBlocks:
      -
  providerSpec:
    value:
      apiVersion: vsphereproviderconfig.k8s.io/v1alpha1
      controlPlaneReplicas:
      controlPlaneVersion:
      kind: VsphereClusterProviderConfig
      loadBalancerIP:
      loadBalancerNodePort:
      metadata:
        creationTimestamp:
      networkSpec:
        dns:
        ntp: ""
        reservedAddresses:
      oidcSpec:
      sniCert:
      vsphereDatacenter:
      vsphereDefaultDatastore:
      vsphereNetwork:
      vsphereResourcePool:
status:
  apiEndpoints:
  - host:
    port:

机器

在 GKE On-Prem 中,Machine 资源是位于 vSphere 中的单个虚拟机 (VM) 的声明性规范。每个 Machine 资源都有一个对应的 Node 资源,Node 资源由 GKE On-Prem 根据 Machine 的规范创建。这些资源引用同一个物理对象,即位于 vSphere 环境中的虚拟机。

如需查看集群中的 Machine 资源,请运行以下命令,其中 [KUBECONFIG] 是集群的 kubeconfig 文件的路径:

kubectl get machines --kubeconfig [KUBECONFIG]

下面是您可能会在 GKE On-Prem 集群中看到的 Machine 资源示例:

apiVersion: cluster.k8s.io/v1alpha1
kind: Machine
metadata:
  annotations:
    control-plane-version: ""
    kubelet-version:
    onprem.gke.io/provider: vsphere
    vm-ip-address:
    vsphere-machine-state:
    vsphere-machine-uuid:
  creationTimestamp:
  finalizers:
  - machine.cluster.k8s.io
  generateName: example-cluster-node
  generation:
  labels:
    kubernetes.googleapis.com/cluster-name: example-cluster-node
    kubernetes.googleapis.com/cluster-namespace:
    machine-template-hash: ""
    set: node
  name: example-cluster-node
  namespace: default
  ownerReferences:
  - apiVersion: cluster.k8s.io/v1alpha1
    blockOwnerDeletion:
    controller:
    kind: MachineSet
    name: example-cluster-node
    uid:
  resourceVersion: ""
  selfLink: /apis/cluster.k8s.io/v1alpha1/namespaces/default/machines/example-cluster-node
  uid:
spec:
  metadata:
    creationTimestamp:
  providerSpec:
    value:
      apiVersion: vsphereproviderconfig.k8s.io/v1alpha1
      kind: VsphereMachineProviderConfig
      machineVariables:
        datacenter:
        datastore:
        disk_label:
        disk_size: ""
        memory: ""
        network:
        num_cpus: ""
        resource_pool:
        vm_template:
      metadata:
        creationTimestamp:
      networkSpec:
        address:
        dns:
        ntp: ""
        useIPAM:
      vsphereMachine:
  versions:
    kubelet:
status:
  lastUpdated:
  nodeRef:
    kind: Node
    name:
    uid:

MachineDeployment

一个 MachineDeployment 管理一组 Machine:它指定 Machine 在其中运行的 GKE On-Prem 集群、声明 Machine 的 vSphere 配置以及发布配置更改。您可以将 MachineDeployment 和 Machine 视为 Deploymentpod

如需查看集群中的 MachineDeployment 资源,请运行以下命令,其中 [KUBECONFIG] 是集群的 kubeconfig 文件的路径:

kubectl get machinedeployments --kubeconfig [KUBECONFIG]

下面是您可能会在 GKE On-Prem 集群中看到的 MachineDeployment 资源示例:

apiVersion: cluster.k8s.io/v1alpha1
kind: MachineDeployment
metadata:
  annotations:
    machinedeployment.clusters.k8s.io/revision: "1"
    onprem.gke.io/provider: vsphere
  creationTimestamp:
  generation: 2
  labels:
    kubernetes.googleapis.com/cluster-name: example-cluster
    kubernetes.googleapis.com/cluster-namespace:
    set: node
  name: example-cluster
  namespace: default
  resourceVersion: ""
  selfLink: /apis/cluster.k8s.io/v1alpha1/namespaces/default/machinedeployments/example-cluster
  uid:
spec:
  minReadySeconds: 0
  progressDeadlineSeconds:
  replicas:
  revisionHistoryLimit:
  selector:
    matchLabels:
      kubernetes.googleapis.com/cluster-name: example-cluster
      kubernetes.googleapis.com/cluster-namespace: default
      set: node
  strategy:
    rollingUpdate:
      maxSurge:
      maxUnavailable:
    type: RollingUpdate
  template:
    metadata:
      annotations:
        onprem.gke.io/provider: vsphere
      creationTimestamp: null
      labels:
        kubernetes.googleapis.com/cluster-name: example-cluster
        kubernetes.googleapis.com/cluster-namespace:
        set: node
    spec:
      metadata:
        creationTimestamp:
      providerSpec:
        value:
          apiVersion: vsphereproviderconfig.k8s.io/v1alpha1
          kind: VsphereMachineProviderConfig
          machineVariables:
            datacenter:
            datastore:
            disk_label:
            disk_size: ""
            memory: ""
            network:
            num_cpus: ""
            resource_pool: example-cluster
            vm_template:
          metadata:
            creationTimestamp:
          networkSpec:
            address:
            dns:
            ntp: ""
            useIPAM:
          vsphereMachine:
      versions:
        kubelet:
status:
  availableReplicas:
  observedGeneration:
  readyReplicas:
  replicas:
  updatedReplicas: