阿里云部署k8s with kubesphere

努力学习，努力爱你！2023-12-19 8:12

阿里云ESC

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云上的防火墙相关设置就是安全组

vpc 专有网络 划分私有ip 子网

vpc 隔离环境域 不同的vpc下 即使相同的子网也不互通

使用交换机继续划分子网

停止 释放 不收钱

k8s

服务器 4核8G*1 + 8核16G *2

git 创建凭证

pipeline 发邮箱 (p124)

k8s 想要发邮件 admin 账号 登录 平台管理 平台设置 通知管理 邮件

admin 工作负载 jenkinsfile 编辑配置文件 配置邮箱

两个地址都需要配置

pipeline 推送镜像

创建凭证

容器镜像服务 个人即可 创建仓库和命名空间 从一个仓库的基本信息中找到仓库地址

例如registry.cn-hangzhou.aliyuncs.com

找到命名空间 例如 jhj

deploy 部署

创建kubeconfig

拉取镜像 由于我们使用阿里云的 所以需要使用阿里云

同时在项目的配置中心 密钥处配置

密钥类型

k8s kubekey 部署

删除之前部署的kk

bash 复制代码 
./kk delete cluster -f config-sample.yaml

下载配置文件

bash 复制代码 
export KKZONE=cn 
curl -sfL https://get-kk.kubesphere.io | VERSION=v2.2.2 sh -

生成配置文件

bash 复制代码 
./kk create config --name kk-k8s

使用内部负载均衡部署

bash 复制代码 
apiVersion: kubekey.kubesphere.io/v1alpha2
kind: Cluster
metadata:
  name: kk-k8s
spec:
  hosts:
  - {name: node1, address: 172.16.0.2, internalAddress: 172.16.0.2, user: ubuntu, password: "Qcloud@123"}
  - {name: node2, address: 172.16.0.3, internalAddress: 172.16.0.3, user: ubuntu, password: "Qcloud@123"}
  roleGroups:
    etcd:
    - node1
    control-plane: 
    - node1
    worker:
    - node1
    - node2
  controlPlaneEndpoint:
    ## Internal loadbalancer for apiservers 
    internalLoadbalancer: haproxy

    domain: lb.kubesphere.local
    address: ""
    port: 6443
  kubernetes:
    version: v1.23.8
    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: []

部署

sh 复制代码 
./kk create cluster -f kk-k8s.yaml --with-kubeshpere v3.2.0

如果想同时部署kubeshpere 加上 --with-kubeshpere v3.2.0 即可

查看集群状态

kubectl get node -o wide

kubeshpere 默认密码为admin

配置文件详解

bash 复制代码 
apiVersion: kubekey.kubesphere.io/v1alpha2
kind: Cluster
metadata:
  name: kk-k8s
spec:
  hosts:
  #address 公网地址 internalAddress 内网地址 账户名 密码
  - {name: node1, address: 172.16.0.2, internalAddress: 172.16.0.2, user: ubuntu, password: "Qcloud@123"}
  - {name: node2, address: 172.16.0.3, internalAddress: 172.16.0.3, user: ubuntu, password: "Qcloud@123"}
  roleGroups:
  	#为了部署高可用的 三台节点可以同时为etcd 生产环境一般不同于主节点与工作节点的额外节点 
    etcd:
    - node1
    control-plane: 
    - node1
    worker:
    - node1
    - node2
  controlPlaneEndpoint:
    ## Internal loadbalancer for apiservers 
    internalLoadbalancer: haproxy # 内部负载均衡器 代理woker节点

    domain: lb.kubesphere.local
    address: ""  #如果使用外部负载均衡 就在配置外部负载均衡的地址
    port: 6443
  kubernetes:
    version: v1.23.8 #版本
    clusterName: cluster.local # 集群名称
    autoRenewCerts: true
    containerManager: docker
  etcd:
    type: kubekey
  network:
    plugin: calico #网络
    kubePodsCIDR: 10.233.64.0/18 #子网划分
    kubeServiceCIDR: 10.233.0.0/18
    ## multus support. https://github.com/k8snetworkplumbingwg/multus-cni
    multusCNI:
      enabled: false
  registry:
    privateRegistry: "" #镜像仓库 默认部署 
    namespaceOverride: ""
    registryMirrors: []
    insecureRegistries: []
  addons: [] #插件

如果想直接创建一个带kubesphere 的配置文件

bash 复制代码 
./kk create config --with-kubesphere v3.2.0 -f test.yaml
bash 复制代码 
apiVersion: kubekey.kubesphere.io/v1alpha2
kind: Cluster
metadata:
  name: sample
spec:
  hosts:
  - {name: node1, address: 172.16.0.2, internalAddress: 172.16.0.2, user: ubuntu, password: "Qcloud@123"}
  - {name: node2, address: 172.16.0.3, internalAddress: 172.16.0.3, user: ubuntu, password: "Qcloud@123"}
  roleGroups:
    etcd:
    - node1
    control-plane: 
    - node1
    worker:
    - node1
    - node2
  controlPlaneEndpoint:
    ## Internal loadbalancer for apiservers 
    # internalLoadbalancer: haproxy

    domain: lb.kubesphere.local
    address: ""
    port: 6443
  kubernetes:
    version: v1.23.8
    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: v3.2.0
spec:
  persistence:
    storageClass: ""
  authentication:
    jwtSecret: ""
  zone: ""
  local_registry: ""
  # dev_tag: ""
  etcd:
    monitoring: false
    endpointIps: localhost
    port: 2379
    tlsEnable: true
  common:
    core:
      console:
        enableMultiLogin: true
        port: 30880
        type: NodePort
    # apiserver:
    #  resources: {}
    # controllerManager:
    #  resources: {}
    redis:
      enabled: false
      volumeSize: 2Gi
    openldap:
      enabled: false
      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: true
    es:
      # master:
      #   volumeSize: 4Gi
      #   replicas: 1
      #   resources: {}
      # data:
      #   volumeSize: 20Gi
      #   replicas: 1
      #   resources: {}
      logMaxAge: 7
      elkPrefix: logstash
      basicAuth:
        enabled: false
        username: ""
        password: ""
      externalElasticsearchUrl: ""
      externalElasticsearchPort: ""
  alerting:
    enabled: false
    # thanosruler:
    #   replicas: 1
    #   resources: {}
  auditing:
    enabled: false
    # operator:
    #   resources: {}
    # webhook:
    #   resources: {}
  devops:
    enabled: false #想用devops 就选择true
    jenkinsMemoryLim: 2Gi
    jenkinsMemoryReq: 1500Mi
    jenkinsVolumeSize: 8Gi
    jenkinsJavaOpts_Xms: 512m
    jenkinsJavaOpts_Xmx: 512m
    jenkinsJavaOpts_MaxRAM: 2g
  events:
    enabled: false
    # operator:
    #   resources: {}
    # exporter:
    #   resources: {}
    # ruler:
    #   enabled: true
    #   replicas: 2
    #   resources: {}
  logging:
    enabled: false
    containerruntime: docker
    logsidecar:
      enabled: true
      replicas: 2
      # resources: {}
  metrics_server:
    enabled: false
  monitoring:
    storageClass: ""
    # kube_rbac_proxy:
    #   resources: {}
    # kube_state_metrics:
    #   resources: {}
    # prometheus:
    #   replicas: 1
    #   volumeSize: 20Gi
    #   resources: {}
    #   operator:
    #     resources: {}
    #   adapter:
    #     resources: {}
    # node_exporter:
    #   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: false
    ippool:
      type: none
    topology:
      type: none
  openpitrix:
    store:
      enabled: false
  servicemesh:
    enabled: false
  kubeedge:
    enabled: false   
    cloudCore:
      nodeSelector: {"node-role.kubernetes.io/worker": ""}
      tolerations: []
      cloudhubPort: "10000"
      cloudhubQuicPort: "10001"
      cloudhubHttpsPort: "10002"
      cloudstreamPort: "10003"
      tunnelPort: "10004"
      cloudHub:
        advertiseAddress:
          - ""
        nodeLimit: "100"
      service:
        cloudhubNodePort: "30000"
        cloudhubQuicNodePort: "30001"
        cloudhubHttpsNodePort: "30002"
        cloudstreamNodePort: "30003"
        tunnelNodePort: "30004"
    edgeWatcher:
      nodeSelector: {"node-role.kubernetes.io/worker": ""}
      tolerations: []
      edgeWatcherAgent:
        nodeSelector: {"node-role.kubernetes.io/worker": ""}
        tolerations: []

kubekey官网详细的参考

https://github.com/kubesphere/kubekey/blob/master/docs/config-example.md

kubesphere 其实就是ks-installer

https://github.com/kubesphere/ks-installer/blob/master/deploy/cluster-configuration.yaml

如果想开启其他配置可以去查看api 开启配置

https://github.com/kubesphere/kubekey/tree/master/cmd/kk/apis/kubekey/v1alpha2

kk 增加节点

修改config.yaml

执行

bash 复制代码 
./kk add nodes -f config.yaml

kk删除节点

执行

bash 复制代码 
./kk delete node node3 -f config.yaml

集群证书管理

查看到期时间

bash 复制代码 
./kk certs check-expiration -f config.yaml

更新集群证书

默认在 /etc/kubernetes/pki

执行命令更新证书

bash 复制代码 
./kk certs renew -f config.yaml

1.2 2.0 插件自动安装 自动更新

应用商店

在安装后 开启一些组件 crud 中 配置项改为true

https://kubesphere.io/zh/docs/v3.4/pluggable-components/app-store/

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