前言
很多初次学习Kubernetes的小伙伴都会需要自己安装环境，鉴于手动安装Kubernetes环境确实很繁琐，并且成功率不高，因此我们可以借助Kubekey工具来完成一站式安装。接下来我们来简单介绍一下安装步骤；
软硬件配置
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系统要求
我自己使用的操作系统是
Ubuntu20.04，虽然目前Ubuntu版本已经到22.04，但是不建议使用最高版本，否则可能安装失败；相关操作系统配置如下：系统 最低要求（每个节点） Ubuntu 16.04，18.04，20.04 CPU：2 核，内存：4 G，硬盘：40 G Debian Buster，Stretch CPU：2 核，内存：4 G，硬盘：40 G CentOS 7.x CPU：2 核，内存：4 G，硬盘：40 G Red Hat Enterprise Linux 7 CPU：2 核，内存：4 G，硬盘：40 G SUSE Linux Enterprise Server 15 /openSUSE Leap 15.2 CPU：2 核，内存：4 G，硬盘：40 G CPU 必须为 x86_64，暂时不支持 Arm 架构的 CPU。
-
节点要求
-
每个节点必须能够通过
SSH访问； -
每个节点必须时间同步；
因为我是在中国大陆地区，所以可以通过下面命令调整机器时区：
sudo timedatectl set-timezone "Asia/Shanghai"如果想改成其他时区，可参考这篇文章：juejin.cn/post/684490…
-
每个节点都要能够使用以下命令：
sudo、curl、openssl、tar； -
每个节点要能够相互
ping通，并能够正常访问网络；
-
-
安装依赖
因为安装
Kubernetes的过程需要依赖socat和conntrack两个依赖项，在ubuntu中我们可以通过以下命令来安装：sudo apt-get install socat sudo apt-get install conntrack # 下面两个依赖项可选，但建议安装 sudo apt-get install ebtables sudo apt-get install ipset
下载Kubekey
因为我们是在中国大陆，众所周知的原因我们无法正常访问github，所以我们需要通过以下命令下载Kubekey：
export KKZONE=cn
curl -sfL https://get-kk.kubesphere.io | VERSION=v3.0.2 sh -
下载完毕后，我们需要给kk添加可执行权限：
chmod +x kk
创建配置文件
我们可以通过以下命令生成一个示例配置文件：
./kk create config --with-kubernetes v1.21.5 --with-kubesphere v3.2.1 -f config-sample.yaml
我们可以通过cat config-sample.yaml命令查看配置文件内容，我们需要根据自己的实际情况对生成的配置文件做部分修改：
apiVersion: kubekey.kubesphere.io/v1alpha2
kind: Cluster
metadata:
name: sample
spec:
hosts:
# 根据情况修改master、node1、node2节点信息
- {name: master, address: 192.168.56.143, internalAddress: 192.168.56.143, user: master, password: "123456"}
- {name: node1, address: 192.168.56.144, internalAddress: 192.168.56.144, user: node1, password: "123456"}
- {name: node2, address: 192.168.56.145, internalAddress: 192.168.56.145, user: node2, password: "123456"}
roleGroups:
etcd:
- master
control-plane:
- master
# 指定master
master:
- master
# 指定工作节点
worker:
- master
- node1
- node2
controlPlaneEndpoint:
## Internal loadbalancer for apiservers
# internalLoadbalancer: haproxy
domain: lb.kubesphere.local
address: ""
port: 6443
kubernetes:
# kubernetes版本
version: v1.21.5
clusterName: cluster.local
network:
# 网络插件
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:
plainHTTP: false
privateRegistry: ""
namespaceOverride: ""
registryMirrors: []
insecureRegistries: []
addons: []
---
apiVersion: installer.kubesphere.io/v1alpha1
kind: ClusterConfiguration
metadata:
name: ks-installer
namespace: kubesphere-system
labels:
# kubesphere版本
version: v3.2.1
spec:
persistence:
storageClass: ""
authentication:
jwtSecret: ""
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: false
# thanosruler:
# replicas: 1
# resources: {}
auditing:
enabled: false
# operator:
# resources: {}
# webhook:
# resources: {}
devops:
enabled: false
jenkinsMemoryLim: 2Gi
jenkinsMemoryReq: 1500Mi
jenkinsVolumeSize: 8Gi
jenkinsJavaOpts_Xms: 512m
jenkinsJavaOpts_Xmx: 512m
jenkinsJavaOpts_MaxRAM: 2g
events:
enabled: false
# operator:
# resources: {}
# exporter:
# resources: {}
# ruler:
# enabled: true
# replicas: 2
# resources: {}
logging:
enabled: false
containerruntime: docker
logsidecar:
enabled: true
replicas: 2
# resources: {}
metrics_server:
enabled: false
monitoring:
storageClass: ""
# kube_rbac_proxy:
# resources: {}
# kube_state_metrics:
# resources: {}
# prometheus:
# replicas: 1
# volumeSize: 20Gi
# resources: {}
# operator:
# resources: {}
# adapter:
# resources: {}
# node_exporter:
# 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: 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: []
创建集群
接下来我们需要根据修改好的配置文件来创建kubernetes服务和kubesphere管理平台：
./kk create cluster -f config-sample.yaml
等待大概20分钟，我们的集群就会创建成功；我们可以在终端看见如下信息：
#####################################################
### Welcome to KubeSphere! ###
#####################################################
Console: http://192.168.56.143:30880
Account: admin
Password: P@88w0rd
NOTES：
1. After you log into the console, please check the
monitoring status of service components in
the "Cluster Management". If any service is not
ready, please wait patiently until all components
are up and running.
2. Please change the default password after login.
#####################################################
https://kubesphere.io 2023-04-06 12:48:35
#####################################################
接下来我们就可以通过 NodeIP:30880 使用默认帐户和密码 (admin/P@88w0rd) 访问 KubeSphere 的 Web 控制台；
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