KubeSphere 是在 Kubernetes 之上构建的以应用为中心的多租户容器平台,提供全栈的 IT 自动化运维的能力,简化企业的 DevOps 工作流。KubeSphere 提供了运维友好的向导式操作界面,帮助企业快速构建一个强大和功能丰富的容器云平台
官网:https://kubesphere.io/zh/
All-in-One安装教程:https://kubesphere.io/zh/docs/v3.3/quick-start/all-in-one-on-linux/
本文参考使用 KubeKey 内置 HAproxy 创建高可用集群教程安装
如果需要跨网络、跨云组节点,可以先使用V**组网,参考本文omniedge V**异地组网工具使用教程
- 使用
ubuntu 20.04 LTS
系统安装 KubeKey
版本 v3.0.7kubernetes
版本 v1.23.15kubesphere
版本 v3.3.2Docker
版本 v23.0.1
1. 初始化服务器和安装必要包
参考本文https://cloud.tencent.com/developer/article/2020356
需关闭防火墙、各节点同步时间
代码语言:javascript复制apt install -y socat conntrack
使用一键脚本安装Docker
并配置镜像加速,参考本文https://cloud.tencent.com/developer/article/2020351
2. 下载KubeKey工具
代码语言:javascript复制# 配置为国内源加速下载
export KKZONE=cn
curl -sfL https://get-kk.kubesphere.io | VERSION=v3.0.7 sh -
chmod x kk
3. 创建示例配置文件并修改
代码语言:javascript复制# 创建示例配置文件
./kk create config --with-kubernetes v1.23.15 --with-kubesphere v3.3.2 -f config-sample.yaml
我的配置文件
代码语言:javascript复制apiVersion: kubekey.kubesphere.io/v1alpha2
kind: Cluster
metadata:
name: sample
spec:
hosts:
- {name: master, address: 124.221.168.1, internalAddress: 100.100.0.2, port: 1121, user: root, password: root}
- {name: node1, address: 192.168.116.166, internalAddress: 100.100.0.5, port: 22, user: root, password: root}
roleGroups:
etcd:
- master
control-plane:
- master
worker:
- master
- node1
controlPlaneEndpoint:
## Internal loadbalancer for apiservers
internalLoadbalancer: haproxy
domain: lb.kubesphere.local
address: ""
port: 6443
kubernetes:
version: v1.23.15
clusterName: cluster.local
apiserverArgs:
- service-node-port-range=1000-65535
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: v3.3.2
spec:
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: 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: ""
externalElasticsearchHost: ""
externalElasticsearchPort: ""
alerting:
enabled: true
# thanosruler:
# replicas: 1
# resources: {}
auditing:
enabled: false
# operator:
# resources: {}
# webhook:
# resources: {}
devops:
enabled: false
# resources: {}
jenkinsMemoryLim: 8Gi
jenkinsMemoryReq: 4Gi
jenkinsVolumeSize: 8Gi
events:
enabled: false
# operator:
# resources: {}
# exporter:
# resources: {}
# ruler:
# enabled: true
# replicas: 2
# resources: {}
logging:
enabled: false
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: false
ippool:
type: none
topology:
type: none
openpitrix:
store:
enabled: true
servicemesh:
enabled: false
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
只需修改spec:hosts
和spec:roleGroups
4. 使用配置文件安装KubeSphere
代码语言:javascript复制./kk create cluster -f config-sample.yaml
看到类似如下信息,则表示安装成功
代码语言:javascript复制#####################################################
### Welcome to KubeSphere! ###
#####################################################
Console: http://192.168.0.3:30880
Account: admin
Password: P@88w0rd
...
使用ip 端口访问控制台即可
5. 一键卸载脚本
代码语言:javascript复制./kk delete cluster -f config-sample.yaml
注意事项
- 节点最好有4G以上内存,不然会卡,用着不顺畅
- 各节点时间必须同步
- 不能开启swap虚拟内存
- 如果需要开启devops流水线,最好16G内存以上
安装体验了下,对我来说使用没rancher简洁,资源占用太多,端口映射太麻烦。最后还是换回了rancher2.4