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：
- Cluster
- Machine
- 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。
Cluster
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 Deployment 和 pod。
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: