Linux单节点部署KubeSphere
1、开通服务器
4c8g；centos7.9；防火墙放行 30000~32767；指定hostname
hostnamectl set-hostname node1
2、安装
1、准备KubeKey
export KKZONE=cn curl -sfL https://get-kk.kubesphere.io | VERSION=v1.1.1 sh - chmod +x kk
2、使用KubeKey引导安装集群
#可能需要下面命令 yum install -y conntrack ./kk create cluster --with-kubernetes v1.20.4 --with-kubesphere v3.1.1
3、安装后开启功能
Linux多节点部署KubeSphere
1、准备三台服务器
- 4c8g （master）
- 8c16g * 2（worker）
- 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
1、下载KubeKey
export KKZONE=cn curl -sfL https://get-kk.kubesphere.io | VERSION=v1.1.1 sh - chmod +x kk
2、创建集群配置文件
./kk create config --with-kubernetes v1.20.4 --with-kubesphere v3.1.1
3、创建集群
./kk create cluster -f config-sample.yaml
4、查看进度
kubectl logs -n kubesphere-system $(kubectl get pod -n kubesphere-system -l app=ks-install -o jsonpath='{.it
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: []
