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KubeSphere(三)Linux多节点部署

Josue
2022-04-22 / 0 评论 / 0 点赞 / 132 阅读 / 1,255 字 / 正在检测是否收录...
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https://kubesphere.com.cn/

1、准备

准备三台服务器:

  • centos7.9
  • 内网互通
  • 每个机器有自己域名
  • 防火墙开放30000~32767端口

2、使用KubeKey创建集群

2.1、下载KubeKey

  • 在master执行
export KKZONE=cn


curl -sfL https://get-kk.kubesphere.io | VERSION=v1.1.1 sh -

chmod +x kk

2.2、创建集群配置文件

  • master下运行
  • 需要指定版本
./kk create config --with-kubernetes v1.20.4 --with-kubesphere v3.1.1

2.3、创建集群

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

2.4、查看进度

kubectl logs -n kubesphere-system $(kubectl get pod -n kubesphere-system -l app=ks-install -o jsonpath='{.items[0].metadata.name}') -f

3、nfs文件系统

3.1、安装nfs-server

# 在每个机器。
yum install -y nfs-utils


# 在master 执行以下命令 
echo "/nfs/data/ *(insecure,rw,sync,no_root_squash)" > /etc/exports


# 执行以下命令,启动 nfs 服务;创建共享目录
mkdir -p /nfs/data


# 在master执行
systemctl enable rpcbind
systemctl enable nfs-server
systemctl start rpcbind
systemctl start nfs-server

# 使配置生效
exportfs -r


#检查配置是否生效
exportfs

3.2、配置nfs-client(选做)

showmount -e 10.170.0.2

mkdir -p /nfs/data

mount -t nfs 10.170.0.2:/nfs/data /nfs/data

3.3、配置默认存储

配置动态供应的默认存储类,需要指定自己nfs服务器地址

## 创建了一个存储类
apiVersion: storage.k8s.io/v1
kind: StorageClass
metadata:
  name: nfs-storage
  annotations:
    storageclass.kubernetes.io/is-default-class: "true"
provisioner: k8s-sigs.io/nfs-subdir-external-provisioner
parameters:
  archiveOnDelete: "true"  ## 删除pv的时候,pv的内容是否要备份

---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: nfs-client-provisioner
  labels:
    app: nfs-client-provisioner
  # replace with namespace where provisioner is deployed
  namespace: default
spec:
  replicas: 1
  strategy:
    type: Recreate
  selector:
    matchLabels:
      app: nfs-client-provisioner
  template:
    metadata:
      labels:
        app: nfs-client-provisioner
    spec:
      serviceAccountName: nfs-client-provisioner
      containers:
        - name: nfs-client-provisioner
          image: registry.cn-hangzhou.aliyuncs.com/lfy_k8s_images/nfs-subdir-external-provisioner:v4.0.2
          # resources:
          #    limits:
          #      cpu: 10m
          #    requests:
          #      cpu: 10m
          volumeMounts:
            - name: nfs-client-root
              mountPath: /persistentvolumes
          env:
            - name: PROVISIONER_NAME
              value: k8s-sigs.io/nfs-subdir-external-provisioner
            - name: NFS_SERVER
              value: 10.170.0.2 ## 指定自己nfs服务器地址
            - name: NFS_PATH  
              value: /nfs/data  ## nfs服务器共享的目录
      volumes:
        - name: nfs-client-root
          nfs:
            server: 10.170.0.2
            path: /nfs/data
---
apiVersion: v1
kind: ServiceAccount
metadata:
  name: nfs-client-provisioner
  # replace with namespace where provisioner is deployed
  namespace: default
---
kind: ClusterRole
apiVersion: rbac.authorization.k8s.io/v1
metadata:
  name: nfs-client-provisioner-runner
rules:
  - apiGroups: [""]
    resources: ["nodes"]
    verbs: ["get", "list", "watch"]
  - apiGroups: [""]
    resources: ["persistentvolumes"]
    verbs: ["get", "list", "watch", "create", "delete"]
  - apiGroups: [""]
    resources: ["persistentvolumeclaims"]
    verbs: ["get", "list", "watch", "update"]
  - apiGroups: ["storage.k8s.io"]
    resources: ["storageclasses"]
    verbs: ["get", "list", "watch"]
  - apiGroups: [""]
    resources: ["events"]
    verbs: ["create", "update", "patch"]
---
kind: ClusterRoleBinding
apiVersion: rbac.authorization.k8s.io/v1
metadata:
  name: run-nfs-client-provisioner
subjects:
  - kind: ServiceAccount
    name: nfs-client-provisioner
    # replace with namespace where provisioner is deployed
    namespace: default
roleRef:
  kind: ClusterRole
  name: nfs-client-provisioner-runner
  apiGroup: rbac.authorization.k8s.io
---
kind: Role
apiVersion: rbac.authorization.k8s.io/v1
metadata:
  name: leader-locking-nfs-client-provisioner
  # replace with namespace where provisioner is deployed
  namespace: default
rules:
  - apiGroups: [""]
    resources: ["endpoints"]
    verbs: ["get", "list", "watch", "create", "update", "patch"]
---
kind: RoleBinding
apiVersion: rbac.authorization.k8s.io/v1
metadata:
  name: leader-locking-nfs-client-provisioner
  # replace with namespace where provisioner is deployed
  namespace: default
subjects:
  - kind: ServiceAccount
    name: nfs-client-provisioner
    # replace with namespace where provisioner is deployed
    namespace: default
roleRef:
  kind: Role
  name: leader-locking-nfs-client-provisioner
  apiGroup: rbac.authorization.k8s.io
#确认配置是否生效
kubectl get sc

3.4、报错

3.4.1、clnt_create: RPC: Program not registered

  • 在服务器上先停止rpcbind
service rpcbind stop
  • 然后在停止nfs
service nfs stop
    1. 最后在重启rpcbind和nfs,一定要按顺序启动和停止
service rpcbind start
service nfs start

4、附录

1、config-sample.yaml示例文件

apiVersion: kubekey.kubesphere.io/v1alpha1
kind: Cluster
metadata:
  name: sample
spec:
  hosts:
  - {name: master, address: 10.140.126.6, internalAddress: 10.140.126.6, user: root, password: Hello777}
  - {name: node1, address: 10.140.122.56, internalAddress: 10.140.122.56, user: root, password: Hello777}
  - {name: node2, address: 10.140.122.39, internalAddress: 10.140.122.39, user: root, password: Hello777}
  roleGroups:
    etcd:
    - master
    master: 
    - master
    worker:
    - node1
    - node2
  controlPlaneEndpoint:
    domain: lb.kubesphere.local
    address: ""
    port: 6443
  kubernetes:
    version: v1.20.4
    imageRepo: kubesphere
    clusterName: cluster.local
  network:
    plugin: calico
    kubePodsCIDR: 10.233.64.0/18
    kubeServiceCIDR: 10.233.0.0/18
  registry:
    registryMirrors: []
    insecureRegistries: []
  addons: []


---
apiVersion: installer.kubesphere.io/v1alpha1
kind: ClusterConfiguration
metadata:
  name: ks-installer
  namespace: kubesphere-system
  labels:
    version: v3.1.1
spec:
  persistence:
    storageClass: ""       
  authentication:
    jwtSecret: ""
  zone: ""
  local_registry: ""        
  etcd:
    monitoring: false      
    endpointIps: localhost  
    port: 2379             
    tlsEnable: true
  common:
    redis:
      enabled: false
    redisVolumSize: 2Gi 
    openldap:
      enabled: false
    openldapVolumeSize: 2Gi  
    minioVolumeSize: 20Gi
    monitoring:
      endpoint: http://prometheus-operated.kubesphere-monitoring-system.svc:9090
    es:  
      elasticsearchMasterVolumeSize: 4Gi   
      elasticsearchDataVolumeSize: 20Gi   
      logMaxAge: 7          
      elkPrefix: logstash
      basicAuth:
        enabled: false
        username: ""
        password: ""
      externalElasticsearchUrl: ""
      externalElasticsearchPort: ""  
  console:
    enableMultiLogin: true 
    port: 30880
  alerting:       
    enabled: false
    # thanosruler:
    #   replicas: 1
    #   resources: {}
  auditing:    
    enabled: false
  devops:           
    enabled: false
    jenkinsMemoryLim: 2Gi     
    jenkinsMemoryReq: 1500Mi 
    jenkinsVolumeSize: 8Gi   
    jenkinsJavaOpts_Xms: 512m  
    jenkinsJavaOpts_Xmx: 512m
    jenkinsJavaOpts_MaxRAM: 2g
  events:          
    enabled: false
    ruler:
      enabled: true
      replicas: 2
  logging:         
    enabled: false
    logsidecar:
      enabled: true
      replicas: 2
  metrics_server:             
    enabled: false
  monitoring:
    storageClass: ""
    prometheusMemoryRequest: 400Mi  
    prometheusVolumeSize: 20Gi  
  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: []
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