阿里云部署k8s with kubesphere-Toy模板网

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阿里云ESC

创建实例

阿里云的k8s仓库地址,Java SpringBoot SpringCloud,阿里云,kubernetes,云计算

填入密码即可

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
阿里云的k8s仓库地址,Java SpringBoot SpringCloud,阿里云,kubernetes,云计算

使用交换机继续划分子网

阿里云的k8s仓库地址,Java SpringBoot SpringCloud,阿里云,kubernetes,云计算

停止释放不收钱

k8s

服务器 4核8G*1 + 8核16G *2

git 创建凭证

阿里云的k8s仓库地址,Java SpringBoot SpringCloud,阿里云,kubernetes,云计算

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
阿里云的k8s仓库地址,Java SpringBoot SpringCloud,阿里云,kubernetes,云计算

阿里云的k8s仓库地址,Java SpringBoot SpringCloud,阿里云,kubernetes,云计算
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
阿里云的k8s仓库地址,Java SpringBoot SpringCloud,阿里云,kubernetes,云计算
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

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

下载配置文件

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

生成配置文件

./kk create config --name kk-k8s

使用内部负载均衡部署


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

./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

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

./kk create config --with-kubesphere v3.2.0 -f test.yaml

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

./kk add nodes -f config.yaml

kk删除节点

执行

./kk delete node node3 -f config.yaml

集群证书管理

查看到期时间

./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

./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/文章来源地址https://www.toymoban.com/news/detail-764129.html

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阿里云部署k8s with kubesphere

阿里云ESC

k8s

git 创建凭证

pipeline 发邮箱 (p124)

pipeline 推送镜像

deploy 部署

k8s kubekey 部署

kk 增加节点

kk删除节点

集群证书管理

应用商店

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