使用KubeKey一同安装Kubernetes(k8s)和KubeSphere

KubeSphere官方有个很简单的安装方式可以同时安装Kubernetes(k8s)和KubeSphere，（多节点安装）。

先下载KubeKey，注意，国内先使用cn环境变量：

export KKZONE=cn
curl -sfL https://get-kk.kubesphere.io | VERSION=v3.0.2 sh -
#这里需要等待一阵，如果没有成功就再执行几遍
chmod +x kk

#指定kubernetes v1.21.10版本，kubesphere v3.3版本，如果两者之间版本不支持，在执行完命令后会报不支持版本
./kk create config --with-kubernetes v1.21.10 --with-kubesphere v3.3

此时生成config-sample.yaml文件，文件包括kubernetes需要安装的配置信息和kubesphere安装信息，kubesphere安装信息包括所需要的插件，除了gpu和es外，其他全部设置为true，配置详单如下

apiVersion: kubekey.kubesphere.io/v1alpha2
kind: Cluster
metadata:
  name: sample
spec:
  hosts:
  - {name: k8smaster, address: 192.169.45.19, internalAddress: 192.169.45.19, user: root, password: "Root@123456"}
  - {name: k8snode1, address: 192.169.45.15, internalAddress: 192.169.45.15, user: root, password: "Root@123456"}
  - {name: k8snode2, address: 192.169.45.12, internalAddress: 192.169.45.12, user: root, password: "Root@123456"}
  roleGroups:
    etcd:
    - k8smaster
    control-plane: 
    - k8smaster
    worker:
    - k8snode1
    - k8snode2
  controlPlaneEndpoint:
    ## Internal loadbalancer for apiservers 
    # internalLoadbalancer: haproxy

    domain: lb.kubesphere.local
    address: ""
    port: 6443
  kubernetes:
    version: v1.21.10
    clusterName: cluster.local
    autoRenewCerts: true
    containerManager: docker
  etcd:
    type: kubekey
  network:
    plugin: calico
    kubePodsCIDR: 10.233.64.0/18
    kubeServiceCIDR: 10.233.0.0/18
    ## multus support. https://github.com/k8snetworkplumbingwg/multus-cni
    multusCNI:
      enabled: false
  registry:
    privateRegistry: ""
    namespaceOverride: ""
    registryMirrors: []
    insecureRegistries: []
  addons: []



---
apiVersion: installer.kubesphere.io/v1alpha1
kind: ClusterConfiguration
metadata:
  name: ks-installer
  namespace: kubesphere-system
  labels:
    version: v3.3.1
spec:
  persistence:
    storageClass: ""
  authentication:
    jwtSecret: ""
  zone: ""
  local_registry: ""
  namespace_override: ""
  # dev_tag: ""
  etcd:
    monitoring: true
    endpointIps: localhost
    port: 2379
    tlsEnable: true
  common:
    core:
      console:
        enableMultiLogin: true
        port: 30880
        type: NodePort
    # apiserver:
    #  resources: {}
    # controllerManager:
    #  resources: {}
    redis:
      enabled: true
      volumeSize: 2Gi
    openldap:
      enabled: true
      volumeSize: 2Gi
    minio:
      volumeSize: 20Gi
    monitoring:
      # type: external
      endpoint: http://prometheus-operated.kubesphere-monitoring-system.svc:9090
      GPUMonitoring:
        enabled: false
    gpu:
      kinds:
      - resourceName: "nvidia.com/gpu"
        resourceType: "GPU"
        default: false
    es:
      # master:
      #   volumeSize: 4Gi
      #   replicas: 1
      #   resources: {}
      # data:
      #   volumeSize: 20Gi
      #   replicas: 1
      #   resources: {}
      logMaxAge: 7
      elkPrefix: logstash
      basicAuth:
        enabled: false
        username: ""
        password: ""
      externalElasticsearchHost: ""
      externalElasticsearchPort: ""
  alerting:
    enabled: true
    # thanosruler:
    #   replicas: 1
    #   resources: {}
  auditing:
    enabled: true
    # operator:
    #   resources: {}
    # webhook:
    #   resources: {}
  devops:
    enabled: true
    # resources: {}
    jenkinsMemoryLim: 8Gi
    jenkinsMemoryReq: 4Gi
    jenkinsVolumeSize: 8Gi
  events:
    enabled: true
    # operator:
    #   resources: {}
    # exporter:
    #   resources: {}
    # ruler:
    #   enabled: true
    #   replicas: 2
    #   resources: {}
  logging:
    enabled: true
    logsidecar:
      enabled: true
      replicas: 2
      # resources: {}
  metrics_server:
    enabled: true
  monitoring:
    storageClass: ""
    node_exporter:
      port: 9100
      # resources: {}
    # kube_rbac_proxy:
    #   resources: {}
    # kube_state_metrics:
    #   resources: {}
    # prometheus:
    #   replicas: 1
    #   volumeSize: 20Gi
    #   resources: {}
    #   operator:
    #     resources: {}
    # alertmanager:
    #   replicas: 1
    #   resources: {}
    # notification_manager:
    #   resources: {}
    #   operator:
    #     resources: {}
    #   proxy:
    #     resources: {}
    gpu:
      nvidia_dcgm_exporter:
        enabled: false
        # resources: {}
  multicluster:
    clusterRole: none
  network:
    networkpolicy:
      enabled: true
    ippool:
      type: calico
    topology:
      type: none
  openpitrix:
    store:
      enabled: true
  servicemesh:
    enabled: true
    istio:
      components:
        ingressGateways:
        - name: istio-ingressgateway
          enabled: true
        cni:
          enabled: true
  edgeruntime:
    enabled: true
    kubeedge:
      enabled: true
      cloudCore:
        cloudHub:
          advertiseAddress:
            - ""
        service:
          cloudhubNodePort: "30000"
          cloudhubQuicNodePort: "30001"
          cloudhubHttpsNodePort: "30002"
          cloudstreamNodePort: "30003"
          tunnelNodePort: "30004"
        # resources: {}
        # hostNetWork: false
      iptables-manager:
        enabled: true
        mode: "external"
        # resources: {}
      # edgeService:
      #   resources: {}
  terminal:
    timeout: 600

配置好后执行：

export KKZONE=cn

./kk create cluster -f config-sample.yaml

此时会打印一些组合依赖信息，如果没有nfs文件存储则请先安装，确认yes后等待一段时间，如果没有明显的错误，则最后会有欢迎信息，此时基本安装成功。

 

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