在四台主机上部署(也可在虚拟机部署)
使用软件版本
Centos7.9 内核3.10.0-1160.el7.x86_64
KubeSphere3.3
KubeSphere 官网 面向云原生应用的容器混合云，支持 Kubernetes 多集群管理的 PaaS 容器云平台解决方案 | KubeSphere
四台全新主机安装Centos7.9 系统
阿里镜像下载地址 http://mirrors.aliyun.com/centos/7.9.2009/isos/x86_64
下载 CentOS-7-x86_64-DVD-2009.iso
U盘安装Centos请参考 Rufus - 轻松创建USB启动盘
系统安装完毕,先进行系统设置
1) 系统设置
静态IP设置
Centos7默认开机不启动网卡,需要手动启动 systemctl start network
使用命令 ip addr ,route -n 或 ifconfig 查看当前网络配置 ,然后再修改配置文件
vi /etc/sysconfig/network-scripts/ifcfg-exx 不同机器网卡名称略微不同
重启网卡 systemctl restart network
配置主机名
hostnamectl set-hostname xxx
修改host文件
vim /etc/hosts
不要删除原来的内容
追加
192.168.10.222 node222
192.168.10.223 node223
192.168.10.224 node224
192.168.10.225 node225
关闭swap
vim /etc/fstab
注释swap
关闭防火墙
systemctl status firewalld
关闭 SELinux
查看状态 sestatus
修改 /etc/selinux/config
SELINUX=disabled
升级证书(不升级会出现证书过期问题)
yum upgrade ca-certificates
时间同步 yum install chrony -y
systemctl start chronyd
systemctl enable chronyd
vim /etc/chrony.conf
替换为阿里
server ntp.aliyun.com iburst
server ntp1.aliyun.com iburst
server ntp2.aliyun.com iburst
2) 服务器免密配置
生成秘钥
ssh-keygen -t rsa -P '' -f ~/.ssh/id_rsa
想免密登录谁，只需要把自己的公钥传递给对方主机即可（自己对自己免密也要配置！）
ssh-copy-id -i ~/.ssh/id_rsa.pub root@192.168.80.12
要输入对方root密码
3) 安装
安装请参考官网文档 多节点安装 (kubesphere.com.cn)
所有服务器安装
yum install socat
yum install sudo
yum install curl
yum install openssl
yum install tar
yum install ipset
yum install ebtables
yum install conntrack
所有服务器执行
export KKZONE=cn
主节点安装kubekey
curl -sfL https://get-kk.kubesphere.io | VERSION=v2.2.1 sh -
chmod +x kk
创建配置文件
./kk create config --with-kubesphere version
修改配置文件
参考,我的是启用了所有可插拔组件
apiVersion: kubekey.kubesphere.io/v1alpha2kind: Clustermetadata: name: samplespec: hosts: - {name: node222, address: 192.168.10.222, internalAddress: 192.168.10.222, privateKeyPath: "~/.ssh/id_rsa"} - {name: node223, address: 192.168.10.223, internalAddress: 192.168.10.223, privateKeyPath: "~/.ssh/id_rsa"} - {name: node224, address: 192.168.10.224, internalAddress: 192.168.10.224, privateKeyPath: "~/.ssh/id_rsa"} - {name: node225, address: 192.168.10.225, internalAddress: 192.168.10.225, privateKeyPath: "~/.ssh/id_rsa"} roleGroups: etcd: - node222 control-plane: - node222 worker: - node222 - node223 - node224 - node225 controlPlaneEndpoint: ## Internal loadbalancer for apiservers # internalLoadbalancer: haproxy
domain: lb.kubesphere.local address: "" port: 6443 kubernetes: version: --with-kubesphere clusterName: cluster.local autoRenewCerts: true containerManager: 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: ["https://whf4b9x8.mirror.aliyuncs.com"] insecureRegistries: [] addons: []
---apiVersion: installer.kubesphere.io/v1alpha1kind: ClusterConfigurationmetadata: name: ks-installer namespace: kubesphere-system labels: version: v3.3.0spec: persistence: storageClass: "" authentication: jwtSecret: "" zone: "" local_registry: "" namespace_override: "" # 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: true 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: "" externalElasticsearchHost: "" externalElasticsearchPort: "" alerting: enabled: true # thanosruler: # replicas: 1 # resources: {} auditing: enabled: true # operator: # resources: {} # webhook: # resources: {} devops: enabled: true # resources: {} jenkinsMemoryLim: 2Gi jenkinsMemoryReq: 1500Mi jenkinsVolumeSize: 8Gi jenkinsJavaOpts_Xms: 1200m jenkinsJavaOpts_Xmx: 1600m jenkinsJavaOpts_MaxRAM: 2g events: enabled: true # operator: # resources: {} # exporter: # resources: {} # ruler: # enabled: true # replicas: 2 # resources: {} logging: enabled: true logsidecar: enabled: true replicas: 2 # resources: {} metrics_server: enabled: false monitoring: storageClass: "" node_exporter: port: 9100 # resources: {} # kube_rbac_proxy: # resources: {} # kube_state_metrics: # resources: {} # prometheus: # replicas: 1 # volumeSize: 20Gi # resources: {} # operator: # 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: true ippool: type: none topology: type: weave-scope openpitrix: store: enabled: true servicemesh: enabled: true istio: components: ingressGateways: - name: istio-ingressgateway enabled: false cni: enabled: false edgeruntime: enabled: false kubeedge: enabled: false cloudCore: cloudHub: advertiseAddress: - "" service: cloudhubNodePort: "30000" cloudhubQuicNodePort: "30001" cloudhubHttpsNodePort: "30002" cloudstreamNodePort: "30003" tunnelNodePort: "30004" # resources: {} # hostNetWork: false iptables-manager: enabled: true mode: "external" # resources: {} # edgeService: # resources: {} terminal: timeout: 600
执行安装命令
./kk create cluster -f config-sample.yaml
接下来是漫长的等待
4) 安装问题
报错- error execution phase preflight: [preflight] Some fatal errors occurred:
- [ERROR SystemVerification]: unsupported graph driver: vfs
- [preflight] If you know what you are doing, you can make a check non-fatal with `--ignore-preflight-errors=...`
- To see the stack trace of this error execute with --v=5 or higher<br><br>设置docker存储引擎
[root@localhost ~]# vim /etc/docker/daemon.json
{
"registry-mirrors": [],
"storage-driver": "overlay2"
}
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