【云原生实战】KubeSphere平台安装之Linux单节点和多节点部署
【摘要】
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👀专栏介绍
【云原生实战】 目前主要更新Kubernetes，一起学习一起进步。
👀本期介绍
主要介绍Kubernetes安装KubeSphere
文章目录
Linux单节...
🔎这里是【云原生实战】，关注我学习云原生不迷路
👍如果对你有帮助，给博主一个免费的点赞以示鼓励
欢迎各位🔎点赞👍评论收藏⭐️
👀专栏介绍
【云原生实战】 目前主要更新Kubernetes，一起学习一起进步。
👀本期介绍
主要介绍Kubernetes安装KubeSphere
文章目录
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
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export KKZONE=cn
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-
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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
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#可能需要下面命令
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yum install -y conntrack
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./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
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export KKZONE=cn
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-
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curl -sfL https://get-kk.kubesphere.io | VERSION=v1.1.1 sh -
-
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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='{.items[0].metadata.name}') -f
附录
1、config-sample.yaml示例文件
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apiVersion: kubekey.kubesphere.io/v1alpha1
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kind: Cluster
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metadata:
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name: sample
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spec:
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hosts:
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- {name: master, address: 10.140.126.6, internalAddress: 10.140.126.6, user: root, password: Hello777}
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- {name: node1, address: 10.140.122.56, internalAddress: 10.140.122.56, user: root, password: Hello777}
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- {name: node2, address: 10.140.122.39, internalAddress: 10.140.122.39, user: root, password: Hello777}
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roleGroups:
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etcd:
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- master
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master:
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- master
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worker:
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- node1
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- node2
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controlPlaneEndpoint:
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domain: lb.kubesphere.local
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address: ""
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port: 6443
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kubernetes:
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version: v1.20.4
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imageRepo: kubesphere
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clusterName: cluster.local
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network:
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plugin: calico
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kubePodsCIDR: 10.233.64.0/18
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kubeServiceCIDR: 10.233.0.0/18
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registry:
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registryMirrors: []
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insecureRegistries: []
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addons: []
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-
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---
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apiVersion: installer.kubesphere.io/v1alpha1
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kind: ClusterConfiguration
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metadata:
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name: ks-installer
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namespace: kubesphere-system
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labels:
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version: v3.1.1
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spec:
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persistence:
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storageClass: ""
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authentication:
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jwtSecret: ""
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zone: ""
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local_registry: ""
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etcd:
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monitoring: false
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endpointIps: localhost
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port: 2379
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tlsEnable: true
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common:
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redis:
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enabled: false
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redisVolumSize: 2Gi
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openldap:
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enabled: false
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openldapVolumeSize: 2Gi
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minioVolumeSize: 20Gi
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monitoring:
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endpoint: http://prometheus-operated.kubesphere-monitoring-system.svc:9090
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es:
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elasticsearchMasterVolumeSize: 4Gi
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elasticsearchDataVolumeSize: 20Gi
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logMaxAge: 7
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elkPrefix: logstash
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basicAuth:
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enabled: false
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username: ""
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password: ""
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externalElasticsearchUrl: ""
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externalElasticsearchPort: ""
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console:
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enableMultiLogin: true
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port: 30880
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alerting:
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enabled: false
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# thanosruler:
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# replicas: 1
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# resources: {}
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auditing:
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enabled: false
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devops:
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enabled: false
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jenkinsMemoryLim: 2Gi
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jenkinsMemoryReq: 1500Mi
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jenkinsVolumeSize: 8Gi
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jenkinsJavaOpts_Xms: 512m
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jenkinsJavaOpts_Xmx: 512m
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jenkinsJavaOpts_MaxRAM: 2g
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events:
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enabled: false
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ruler:
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enabled: true
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replicas: 2
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logging:
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enabled: false
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logsidecar:
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enabled: true
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replicas: 2
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metrics_server:
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enabled: false
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monitoring:
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storageClass: ""
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prometheusMemoryRequest: 400Mi
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prometheusVolumeSize: 20Gi
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multicluster:
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clusterRole: none
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network:
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networkpolicy:
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enabled: false
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ippool:
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type: none
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topology:
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type: none
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openpitrix:
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store:
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enabled: false
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servicemesh:
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enabled: false
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kubeedge:
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enabled: false
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cloudCore:
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nodeSelector: {"node-role.kubernetes.io/worker": ""}
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tolerations: []
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cloudhubPort: "10000"
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cloudhubQuicPort: "10001"
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cloudhubHttpsPort: "10002"
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cloudstreamPort: "10003"
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tunnelPort: "10004"
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cloudHub:
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advertiseAddress:
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- ""
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nodeLimit: "100"
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service:
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cloudhubNodePort: "30000"
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cloudhubQuicNodePort: "30001"
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cloudhubHttpsNodePort: "30002"
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cloudstreamNodePort: "30003"
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tunnelNodePort: "30004"
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edgeWatcher:
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nodeSelector: {"node-role.kubernetes.io/worker": ""}
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tolerations: []
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edgeWatcherAgent:
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nodeSelector: {"node-role.kubernetes.io/worker": ""}
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tolerations: []
文章来源: blog.csdn.net，作者：陶然同学，版权归原作者所有，如需转载，请联系作者。
原文链接：blog.csdn.net/weixin_45481821/article/details/125110351
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