搭建k8s集群并安装kubeSphere

准备三台虚拟机,配置2核4G,net网络模式。虚拟机主要配置如下

进入配置文件进行配置,我们的尾号可能不一样,可以cd /etc/sysconfig/network-scripts/ 目录下看一下你的网络配置文件叫什么名字。

vi /etc/sysconfig/network-scripts/ifcfg-ens32

设置静态ip,我准备了三台ip分别为192.168.66.33/34/35

BOOTPROTO=static
ONBOOT=yes
IPADDR=192.168.66.33
NETMASK=255.255.255.0
GATEWAY=192.168.66.1
DNS1=114.114.114.114

本人使用的wifi,为了避免ip改变使用的网段和电脑的网段为同一网段

例如:

搭建k8s集群并安装kubeSphere_第1张图片

这里子网改成对应网段的子网

 搭建k8s集群并安装kubeSphere_第2张图片

 在window里更改适配器配置

搭建k8s集群并安装kubeSphere_第3张图片

 更改vmware 8的配置

搭建k8s集群并安装kubeSphere_第4张图片

 鼠标右键选择属性进行更改

搭建k8s集群并安装kubeSphere_第5张图片

设置成自己的网段

搭建k8s集群并安装kubeSphere_第6张图片

配置后确定即可,配置好网络后进入虚拟机刷新一下网络

service network restart

 ping baidu.com测试是否能联网,ssh连接工具测试连接

 全部连接成功即可进入以下操作

开局关闭所有防火墙,不然要开放很多端口号有点麻烦,这里我省点儿事儿

systemctl stop firewalld

1、安装Docker

sudo yum remove docker*
sudo yum install -y yum-utils

#配置docker的yum地址
sudo yum-config-manager \
--add-repo \
http://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo


#安装指定版本
sudo yum install -y docker-ce-20.10.7 docker-ce-cli-20.10.7 containerd.io-1.4.6

#	启动&开机启动docker
systemctl enable docker --now

# docker加速配置
sudo mkdir -p /etc/docker
sudo tee /etc/docker/daemon.json <<-'EOF'
{
  "registry-mirrors": ["https://82m9ar63.mirror.aliyuncs.com"],
  "exec-opts": ["native.cgroupdriver=systemd"],
  "log-driver": "json-file",
  "log-opts": {
    "max-size": "100m"
  },
  "storage-driver": "overlay2"
}
EOF
sudo systemctl daemon-reload
sudo systemctl restart docker

2、安装Kubernetes

1、基本环境

每个机器使用内网ip互通

每个机器配置自己的hostname 例如:k8s-master,k8s-node1,k8s-node2,不能用localhost

设置好后断开连接,重新连接即可看到

这里就变成了k8s-master 

添加阿里云yum软件源

cat > /etc/yum.repos.d/kubernetes.repo << EOF
[kubernetes]
name=Kubernetes
baseurl=https://mirrors.aliyun.com/kubernetes/yum/repos/kubernetes-el7-x86_64
enabled=1
gpgcheck=0
repo_gpgcheck=0
gpgkey=https://mirrors.aliyun.com/kubernetes/yum/doc/yum-key.gpg https://mirrors.aliyun.com/kubernetes/yum/doc/rpm-package-key.gpg
EOF
#设置每个机器自己的hostname
hostnamectl set-hostname xxx

# 将 SELinux 设置为 permissive 模式(相当于将其禁用)
sudo setenforce 0
sudo sed -i 's/^SELINUX=enforcing$/SELINUX=permissive/' /etc/selinux/config

#关闭swap
swapoff -a  
sed -ri 's/.*swap.*/#&/' /etc/fstab

#允许 iptables 检查桥接流量
cat <

2、安装kubelet、kubeadm、kubectl

#配置k8s的yum源地址
cat <> /etc/hosts

3、初始化master节点

1、初始化

不加入以下代码可能会出错

echo 1 > /proc/sys/net/ipv4/ip_forward
kubeadm init \
--apiserver-advertise-address=192.168.66.33 \
--control-plane-endpoint=k8s-master \
--image-repository registry.cn-hangzhou.aliyuncs.com/lfy_k8s_images \
--kubernetes-version v1.20.9 \
--service-cidr=10.96.0.0/16 \
--pod-network-cidr=192.168.0.0/16

1.2 如果初始化失败

手动删除相关文件夹

#删除/etc/kubernetes/文件夹下的所有文件
rm -rf /etc/kubernetes/*
#删除$HOME/.kube文件夹
rm -rf ~/.kube/*
# 删除/var/lib/etcd文件夹
rm -rf /var/lib/etcd/*

停止相关端口号的占用(使用工具lsof,如果没有yum install -y lsof下载一下)

lsof -i :6443|grep -v "PID"|awk '{print "kill -9",$2}'|sh
lsof -i :10251|grep -v "PID"|awk '{print "kill -9",$2}'|sh
lsof -i :10252|grep -v "PID"|awk '{print "kill -9",$2}'|sh
lsof -i :10250|grep -v "PID"|awk '{print "kill -9",$2}'|sh
lsof -i :2379|grep -v "PID"|awk '{print "kill -9",$2}'|sh
lsof -i :2380|grep -v "PID"|awk '{print "kill -9",$2}'|sh

kubeadm清除环境,清除环境后重新初始化即可

kubeadm reset

2、记录关键信息

记录master执行完成后的日志

Your Kubernetes control-plane has initialized successfully!

To start using your cluster, you need to run the following as a regular user:

  mkdir -p $HOME/.kube
  sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
  sudo chown $(id -u):$(id -g) $HOME/.kube/config

Alternatively, if you are the root user, you can run:

  export KUBECONFIG=/etc/kubernetes/admin.conf

You should now deploy a pod network to the cluster.
Run "kubectl apply -f [podnetwork].yaml" with one of the options listed at:
  https://kubernetes.io/docs/concepts/cluster-administration/addons/

You can now join any number of control-plane nodes by copying certificate authorities
and service account keys on each node and then running the following as root:

  kubeadm join k8s-master:6443 --token 3vckmv.lvrl05xpyftbs177 \
    --discovery-token-ca-cert-hash sha256:1dc274fed24778f5c284229d9fcba44a5df11efba018f9664cf5e8ff77907240 \
    --control-plane 

Then you can join any number of worker nodes by running the following on each as root:

kubeadm join k8s-master:6443 --token 3vckmv.lvrl05xpyftbs177 \
    --discovery-token-ca-cert-hash sha256:1dc274fed24778f5c284229d9fcba44a5df11efba018f9664cf5e8ff77907240

执行代码

 mkdir -p $HOME/.kube
  sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
  sudo chown $(id -u):$(id -g) $HOME/.kube/config

3、安装Calico网络插件

curl https://docs.projectcalico.org/manifests/calico.yaml -O

kubectl apply -f calico.yaml

4、加入worker节点

同步时间

# 时间同步
yum install ntpdate -y
ntpdate time.windows.com

加入节点,直接粘贴上面成功后最后两行代码就行,示例:

kubeadm join k8s-master:6443 --token 3vckmv.lvrl05xpyftbs177 \
    --discovery-token-ca-cert-hash sha256:1dc274fed24778f5c284229d9fcba44a5df11efba018f9664cf5e8ff77907240

如果令牌失效,则重新生成令牌

#新令牌
kubeadm token create --print-join-command

粘贴生成的代码即可

查看节点状态kubectl get nodes

搭建k8s集群并安装kubeSphere_第7张图片

现在是准备阶段全部成功后就变成了ready

现在已经成功了,建议装kubesphere之前给虚拟机创建一个快照

 搭建k8s集群并安装kubeSphere_第8张图片

我建立了很多快照,中间重置了一次 

以下是目前k8s集群中的所有pod

搭建k8s集群并安装kubeSphere_第9张图片

安装kubesphere,2核4G就不够了,可以准备4核心8G的三台服务器。

3、安装KubeSphere前置环境

1、nfs文件系统

1、安装nfs-server

这个是用来做存储卷的,因为k8s是集群的方式部署,如果挂了,会在三台机器上再重新起一个服务,如果像以前一样,将数据挂载再本机,那么再另一台服务器尚重启后就找不到数据了,这是不行的。所以这个文件系统也是采用调度复制的思想,能够让你应用重启的同时可以使用原来的挂载数据卷。

# 在每个机器。
yum install -y nfs-utils


# 在master 执行以下命令 
echo "/nfs/data/ *(insecure,rw,sync,no_root_squash)" > /etc/exports


# 执行以下命令,启动 nfs 服务;创建共享目录
mkdir -p /nfs/data


# 在master执行
systemctl enable rpcbind
systemctl enable nfs-server
systemctl start rpcbind
systemctl start nfs-server

# 使配置生效
exportfs -r


#检查配置是否生效
exportfs

2、配置nfs-client(选做)

showmount -e 192.168.66.33

mkdir -p /nfs/data

mount -t nfs 192.168.66.33:/nfs/data /nfs/data

3、配置默认存储

配置动态供应的默认存储类ymal文件,自行起名

## 创建了一个存储类
apiVersion: storage.k8s.io/v1
kind: StorageClass
metadata:
  name: nfs-storage
  annotations:
    storageclass.kubernetes.io/is-default-class: "true"
provisioner: k8s-sigs.io/nfs-subdir-external-provisioner
parameters:
  archiveOnDelete: "true"  ## 删除pv的时候,pv的内容是否要备份

---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: nfs-client-provisioner
  labels:
    app: nfs-client-provisioner
  # replace with namespace where provisioner is deployed
  namespace: default
spec:
  replicas: 1
  strategy:
    type: Recreate
  selector:
    matchLabels:
      app: nfs-client-provisioner
  template:
    metadata:
      labels:
        app: nfs-client-provisioner
    spec:
      serviceAccountName: nfs-client-provisioner
      containers:
        - name: nfs-client-provisioner
          image: registry.cn-hangzhou.aliyuncs.com/lfy_k8s_images/nfs-subdir-external-provisioner:v4.0.2
          # resources:
          #    limits:
          #      cpu: 10m
          #    requests:
          #      cpu: 10m
          volumeMounts:
            - name: nfs-client-root
              mountPath: /persistentvolumes
          env:
            - name: PROVISIONER_NAME
              value: k8s-sigs.io/nfs-subdir-external-provisioner
            - name: NFS_SERVER
              value: 192.168.66.33 ## 指定自己nfs服务器地址
            - name: NFS_PATH  
              value: /nfs/data  ## nfs服务器共享的目录
      volumes:
        - name: nfs-client-root
          nfs:
            server: 192.168.66.33
            path: /nfs/data
---
apiVersion: v1
kind: ServiceAccount
metadata:
  name: nfs-client-provisioner
  # replace with namespace where provisioner is deployed
  namespace: default
---
kind: ClusterRole
apiVersion: rbac.authorization.k8s.io/v1
metadata:
  name: nfs-client-provisioner-runner
rules:
  - apiGroups: [""]
    resources: ["nodes"]
    verbs: ["get", "list", "watch"]
  - apiGroups: [""]
    resources: ["persistentvolumes"]
    verbs: ["get", "list", "watch", "create", "delete"]
  - apiGroups: [""]
    resources: ["persistentvolumeclaims"]
    verbs: ["get", "list", "watch", "update"]
  - apiGroups: ["storage.k8s.io"]
    resources: ["storageclasses"]
    verbs: ["get", "list", "watch"]
  - apiGroups: [""]
    resources: ["events"]
    verbs: ["create", "update", "patch"]
---
kind: ClusterRoleBinding
apiVersion: rbac.authorization.k8s.io/v1
metadata:
  name: run-nfs-client-provisioner
subjects:
  - kind: ServiceAccount
    name: nfs-client-provisioner
    # replace with namespace where provisioner is deployed
    namespace: default
roleRef:
  kind: ClusterRole
  name: nfs-client-provisioner-runner
  apiGroup: rbac.authorization.k8s.io
---
kind: Role
apiVersion: rbac.authorization.k8s.io/v1
metadata:
  name: leader-locking-nfs-client-provisioner
  # replace with namespace where provisioner is deployed
  namespace: default
rules:
  - apiGroups: [""]
    resources: ["endpoints"]
    verbs: ["get", "list", "watch", "create", "update", "patch"]
---
kind: RoleBinding
apiVersion: rbac.authorization.k8s.io/v1
metadata:
  name: leader-locking-nfs-client-provisioner
  # replace with namespace where provisioner is deployed
  namespace: default
subjects:
  - kind: ServiceAccount
    name: nfs-client-provisioner
    # replace with namespace where provisioner is deployed
    namespace: default
roleRef:
  kind: Role
  name: leader-locking-nfs-client-provisioner
  apiGroup: rbac.authorization.k8s.io

应用该文件

kubectl apply -f xxx.ymal
#确认配置是否生效
kubectl get sc

如果失败就是打印的是notfound,如果成功会打印nfs的信息。

2、metrics-server

集群指标监控组件

apiVersion: v1
kind: ServiceAccount
metadata:
  labels:
    k8s-app: metrics-server
  name: metrics-server
  namespace: kube-system
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
  labels:
    k8s-app: metrics-server
    rbac.authorization.k8s.io/aggregate-to-admin: "true"
    rbac.authorization.k8s.io/aggregate-to-edit: "true"
    rbac.authorization.k8s.io/aggregate-to-view: "true"
  name: system:aggregated-metrics-reader
rules:
- apiGroups:
  - metrics.k8s.io
  resources:
  - pods
  - nodes
  verbs:
  - get
  - list
  - watch
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
  labels:
    k8s-app: metrics-server
  name: system:metrics-server
rules:
- apiGroups:
  - ""
  resources:
  - pods
  - nodes
  - nodes/stats
  - namespaces
  - configmaps
  verbs:
  - get
  - list
  - watch
---
apiVersion: rbac.authorization.k8s.io/v1
kind: RoleBinding
metadata:
  labels:
    k8s-app: metrics-server
  name: metrics-server-auth-reader
  namespace: kube-system
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: Role
  name: extension-apiserver-authentication-reader
subjects:
- kind: ServiceAccount
  name: metrics-server
  namespace: kube-system
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
  labels:
    k8s-app: metrics-server
  name: metrics-server:system:auth-delegator
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: ClusterRole
  name: system:auth-delegator
subjects:
- kind: ServiceAccount
  name: metrics-server
  namespace: kube-system
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
  labels:
    k8s-app: metrics-server
  name: system:metrics-server
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: ClusterRole
  name: system:metrics-server
subjects:
- kind: ServiceAccount
  name: metrics-server
  namespace: kube-system
---
apiVersion: v1
kind: Service
metadata:
  labels:
    k8s-app: metrics-server
  name: metrics-server
  namespace: kube-system
spec:
  ports:
  - name: https
    port: 443
    protocol: TCP
    targetPort: https
  selector:
    k8s-app: metrics-server
---
apiVersion: apps/v1
kind: Deployment
metadata:
  labels:
    k8s-app: metrics-server
  name: metrics-server
  namespace: kube-system
spec:
  selector:
    matchLabels:
      k8s-app: metrics-server
  strategy:
    rollingUpdate:
      maxUnavailable: 0
  template:
    metadata:
      labels:
        k8s-app: metrics-server
    spec:
      containers:
      - args:
        - --cert-dir=/tmp
        - --kubelet-insecure-tls
        - --secure-port=4443
        - --kubelet-preferred-address-types=InternalIP,ExternalIP,Hostname
        - --kubelet-use-node-status-port
        image: registry.cn-hangzhou.aliyuncs.com/lfy_k8s_images/metrics-server:v0.4.3
        imagePullPolicy: IfNotPresent
        livenessProbe:
          failureThreshold: 3
          httpGet:
            path: /livez
            port: https
            scheme: HTTPS
          periodSeconds: 10
        name: metrics-server
        ports:
        - containerPort: 4443
          name: https
          protocol: TCP
        readinessProbe:
          failureThreshold: 3
          httpGet:
            path: /readyz
            port: https
            scheme: HTTPS
          periodSeconds: 10
        securityContext:
          readOnlyRootFilesystem: true
          runAsNonRoot: true
          runAsUser: 1000
        volumeMounts:
        - mountPath: /tmp
          name: tmp-dir
      nodeSelector:
        kubernetes.io/os: linux
      priorityClassName: system-cluster-critical
      serviceAccountName: metrics-server
      volumes:
      - emptyDir: {}
        name: tmp-dir
---
apiVersion: apiregistration.k8s.io/v1
kind: APIService
metadata:
  labels:
    k8s-app: metrics-server
  name: v1beta1.metrics.k8s.io
spec:
  group: metrics.k8s.io
  groupPriorityMinimum: 100
  insecureSkipTLSVerify: true
  service:
    name: metrics-server
    namespace: kube-system
  version: v1beta1
  versionPriority: 100

同上进行应用

这个是kubesphere的性能分析插件,如果不装kubesphere也会自己安装但是kubesphere的安装镜像源是从国外安装的所以非常非常慢。极大概率会出错。所以我们可以提前安装。如果安装成功了可以执行以下命令测试:

安装成功后可以执行命令查看cpu使用情况

kubectl top nodes (cpu,内存使用情况)
kubectl top nodes pods -A(所有pod的cpu,内存使用情况)

搭建k8s集群并安装kubeSphere_第10张图片

安装kubesphere前置安装环境必须要全部完成,要不极有可能失败,我的笔记本安装空间是不够的,可以尝试最小化安装,我用云服务器测试是可行的。

4、安装KubeSphere

1、下载核心文件

如果下载不到,请复制附录的内容

wget https://github.com/kubesphere/ks-installer/releases/download/v3.1.1/kubesphere-installer.yaml

wget https://github.com/kubesphere/ks-installer/releases/download/v3.1.1/cluster-configuration.yaml

2、修改cluster-configuration

在 cluster-configuration.yaml中指定我们需要开启的功能

参照官网“启用可插拔组件”

https://kubesphere.com.cn/docs/pluggable-components/overview/

可插拔组件的配置文件我放到最后了,用电脑设置的虚拟机很多功能都没有多少内存和磁盘可以使用,我们需要最小化安装,大家可以参照配置文件改一下,如果内存不够,就会一直报错,以上k8s的安装没有问题的,装不上kubesphere可以去官方找一下配置文件。第一个配置文件不需要改主要是第二个。第二个配置文件基本是全功能能开放的,可以根据需求改,需要启动哪个文件只需要改成true即可,不需要改成flase即可。

3、执行安装

kubectl apply -f kubesphere-installer.yaml

kubectl apply -f cluster-configuration.yaml

4、查看安装进度

kubectl logs -n kubesphere-system $(kubectl get pod -n kubesphere-system -l app=ks-install -o jsonpath='{.items[0].metadata.name}') -f

 打印以下内容说明安装成功

搭建k8s集群并安装kubeSphere_第11张图片

等待所以pod就绪

这个是如果开启了prometheus这个可插拔组件可能会出错。

prometheus出错查看错误描述:

kubectl describe pod -n kubesphere-monitoring-system prometheus-k8s-0

会报错etcd证书找不到的问题,执行以下命令即可。

解决etcd监控证书找不到问题

kubectl -n kubesphere-monitoring-system create secret generic kube-etcd-client-certs  --from-file=etcd-client-ca.crt=/etc/kubernetes/pki/etcd/ca.crt  --from-file=etcd-client.crt=/etc/kubernetes/pki/apiserver-etcd-client.crt  --from-file=etcd-client.key=/etc/kubernetes/pki/apiserver-etcd-client.key

所有步骤准备完成

访问任意机器的 30880端口

账号 : admin

密码 : P@88w0rd

即可进入登陆页面

附录

1、kubesphere-installer.yaml

---
apiVersion: apiextensions.k8s.io/v1beta1
kind: CustomResourceDefinition
metadata:
  name: clusterconfigurations.installer.kubesphere.io
spec:
  group: installer.kubesphere.io
  versions:
  - name: v1alpha1
    served: true
    storage: true
  scope: Namespaced
  names:
    plural: clusterconfigurations
    singular: clusterconfiguration
    kind: ClusterConfiguration
    shortNames:
    - cc

---
apiVersion: v1
kind: Namespace
metadata:
  name: kubesphere-system

---
apiVersion: v1
kind: ServiceAccount
metadata:
  name: ks-installer
  namespace: kubesphere-system

---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
  name: ks-installer
rules:
- apiGroups:
  - ""
  resources:
  - '*'
  verbs:
  - '*'
- apiGroups:
  - apps
  resources:
  - '*'
  verbs:
  - '*'
- apiGroups:
  - extensions
  resources:
  - '*'
  verbs:
  - '*'
- apiGroups:
  - batch
  resources:
  - '*'
  verbs:
  - '*'
- apiGroups:
  - rbac.authorization.k8s.io
  resources:
  - '*'
  verbs:
  - '*'
- apiGroups:
  - apiregistration.k8s.io
  resources:
  - '*'
  verbs:
  - '*'
- apiGroups:
  - apiextensions.k8s.io
  resources:
  - '*'
  verbs:
  - '*'
- apiGroups:
  - tenant.kubesphere.io
  resources:
  - '*'
  verbs:
  - '*'
- apiGroups:
  - certificates.k8s.io
  resources:
  - '*'
  verbs:
  - '*'
- apiGroups:
  - devops.kubesphere.io
  resources:
  - '*'
  verbs:
  - '*'
- apiGroups:
  - monitoring.coreos.com
  resources:
  - '*'
  verbs:
  - '*'
- apiGroups:
  - logging.kubesphere.io
  resources:
  - '*'
  verbs:
  - '*'
- apiGroups:
  - jaegertracing.io
  resources:
  - '*'
  verbs:
  - '*'
- apiGroups:
  - storage.k8s.io
  resources:
  - '*'
  verbs:
  - '*'
- apiGroups:
  - admissionregistration.k8s.io
  resources:
  - '*'
  verbs:
  - '*'
- apiGroups:
  - policy
  resources:
  - '*'
  verbs:
  - '*'
- apiGroups:
  - autoscaling
  resources:
  - '*'
  verbs:
  - '*'
- apiGroups:
  - networking.istio.io
  resources:
  - '*'
  verbs:
  - '*'
- apiGroups:
  - config.istio.io
  resources:
  - '*'
  verbs:
  - '*'
- apiGroups:
  - iam.kubesphere.io
  resources:
  - '*'
  verbs:
  - '*'
- apiGroups:
  - notification.kubesphere.io
  resources:
  - '*'
  verbs:
  - '*'
- apiGroups:
  - auditing.kubesphere.io
  resources:
  - '*'
  verbs:
  - '*'
- apiGroups:
  - events.kubesphere.io
  resources:
  - '*'
  verbs:
  - '*'
- apiGroups:
  - core.kubefed.io
  resources:
  - '*'
  verbs:
  - '*'
- apiGroups:
  - installer.kubesphere.io
  resources:
  - '*'
  verbs:
  - '*'
- apiGroups:
  - storage.kubesphere.io
  resources:
  - '*'
  verbs:
  - '*'
- apiGroups:
  - security.istio.io
  resources:
  - '*'
  verbs:
  - '*'
- apiGroups:
  - monitoring.kiali.io
  resources:
  - '*'
  verbs:
  - '*'
- apiGroups:
  - kiali.io
  resources:
  - '*'
  verbs:
  - '*'
- apiGroups:
  - networking.k8s.io
  resources:
  - '*'
  verbs:
  - '*'
- apiGroups:
  - kubeedge.kubesphere.io
  resources:
  - '*'
  verbs:
  - '*'
- apiGroups:
  - types.kubefed.io
  resources:
  - '*'
  verbs:
  - '*'

---
kind: ClusterRoleBinding
apiVersion: rbac.authorization.k8s.io/v1
metadata:
  name: ks-installer
subjects:
- kind: ServiceAccount
  name: ks-installer
  namespace: kubesphere-system
roleRef:
  kind: ClusterRole
  name: ks-installer
  apiGroup: rbac.authorization.k8s.io

---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: ks-installer
  namespace: kubesphere-system
  labels:
    app: ks-install
spec:
  replicas: 1
  selector:
    matchLabels:
      app: ks-install
  template:
    metadata:
      labels:
        app: ks-install
    spec:
      serviceAccountName: ks-installer
      containers:
      - name: installer
        image: kubesphere/ks-installer:v3.1.1
        imagePullPolicy: "Always"
        resources:
          limits:
            cpu: "1"
            memory: 1Gi
          requests:
            cpu: 20m
            memory: 100Mi
        volumeMounts:
        - mountPath: /etc/localtime
          name: host-time
      volumes:
      - hostPath:
          path: /etc/localtime
          type: ""
        name: host-time

2、cluster-configuration.yaml

---
apiVersion: installer.kubesphere.io/v1alpha1
kind: ClusterConfiguration
metadata:
  name: ks-installer
  namespace: kubesphere-system
  labels:
    version: v3.1.1
spec:
  persistence:
    storageClass: ""        # If there is no default StorageClass in your cluster, you need to specify an existing StorageClass here.
  authentication:
    jwtSecret: ""           # Keep the jwtSecret consistent with the Host Cluster. Retrieve the jwtSecret by executing "kubectl -n kubesphere-system get cm kubesphere-config -o yaml | grep -v "apiVersion" | grep jwtSecret" on the Host Cluster.
  local_registry: ""        # Add your private registry address if it is needed.
  etcd:
    monitoring: true       # Enable or disable etcd monitoring dashboard installation. You have to create a Secret for etcd before you enable it.
    endpointIps: 172.31.0.4  # etcd cluster EndpointIps. It can be a bunch of IPs here.
    port: 2379              # etcd port.
    tlsEnable: true
  common:
    redis:
      enabled: true
    openldap:
      enabled: true
    minioVolumeSize: 20Gi # Minio PVC size.
    openldapVolumeSize: 2Gi   # openldap PVC size.
    redisVolumSize: 2Gi # Redis PVC size.
    monitoring:
      # type: external   # Whether to specify the external prometheus stack, and need to modify the endpoint at the next line.
      endpoint: http://prometheus-operated.kubesphere-monitoring-system.svc:9090 # Prometheus endpoint to get metrics data.
    es:   # Storage backend for logging, events and auditing.
      # elasticsearchMasterReplicas: 1   # The total number of master nodes. Even numbers are not allowed.
      # elasticsearchDataReplicas: 1     # The total number of data nodes.
      elasticsearchMasterVolumeSize: 4Gi   # The volume size of Elasticsearch master nodes.
      elasticsearchDataVolumeSize: 20Gi    # The volume size of Elasticsearch data nodes.
      logMaxAge: 7                     # Log retention time in built-in Elasticsearch. It is 7 days by default.
      elkPrefix: logstash              # The string making up index names. The index name will be formatted as ks--log.
      basicAuth:
        enabled: false
        username: ""
        password: ""
      externalElasticsearchUrl: ""
      externalElasticsearchPort: ""
  console:
    enableMultiLogin: true  # Enable or disable simultaneous logins. It allows different users to log in with the same account at the same time.
    port: 30880
  alerting:                # (CPU: 0.1 Core, Memory: 100 MiB) It enables users to customize alerting policies to send messages to receivers in time with different time intervals and alerting levels to choose from.
    enabled: true         # Enable or disable the KubeSphere Alerting System.
    # thanosruler:
    #   replicas: 1
    #   resources: {}
  auditing:                # Provide a security-relevant chronological set of records,recording the sequence of activities happening on the platform, initiated by different tenants.
    enabled: true         # Enable or disable the KubeSphere Auditing Log System. 
  devops:                  # (CPU: 0.47 Core, Memory: 8.6 G) Provide an out-of-the-box CI/CD system based on Jenkins, and automated workflow tools including Source-to-Image & Binary-to-Image.
    enabled: true             # Enable or disable the KubeSphere DevOps System.
    jenkinsMemoryLim: 2Gi      # Jenkins memory limit.
    jenkinsMemoryReq: 1500Mi   # Jenkins memory request.
    jenkinsVolumeSize: 8Gi     # Jenkins volume size.
    jenkinsJavaOpts_Xms: 512m  # The following three fields are JVM parameters.
    jenkinsJavaOpts_Xmx: 512m
    jenkinsJavaOpts_MaxRAM: 2g
  events:                  # Provide a graphical web console for Kubernetes Events exporting, filtering and alerting in multi-tenant Kubernetes clusters.
    enabled: true         # Enable or disable the KubeSphere Events System.
    ruler:
      enabled: true
      replicas: 2
  logging:                 # (CPU: 57 m, Memory: 2.76 G) Flexible logging functions are provided for log query, collection and management in a unified console. Additional log collectors can be added, such as Elasticsearch, Kafka and Fluentd.
    enabled: true         # Enable or disable the KubeSphere Logging System.
    logsidecar:
      enabled: true
      replicas: 2
  metrics_server:                    # (CPU: 56 m, Memory: 44.35 MiB) It enables HPA (Horizontal Pod Autoscaler).
    enabled: false                   # Enable or disable metrics-server.
  monitoring:
    storageClass: ""                 # If there is an independent StorageClass you need for Prometheus, you can specify it here. The default StorageClass is used by default.
    # prometheusReplicas: 1          # Prometheus replicas are responsible for monitoring different segments of data source and providing high availability.
    prometheusMemoryRequest: 400Mi   # Prometheus request memory.
    prometheusVolumeSize: 20Gi       # Prometheus PVC size.
    # alertmanagerReplicas: 1          # AlertManager Replicas.
  multicluster:
    clusterRole: none  # host | member | none  # You can install a solo cluster, or specify it as the Host or Member Cluster.
  network:
    networkpolicy: # Network policies allow network isolation within the same cluster, which means firewalls can be set up between certain instances (Pods).
      # Make sure that the CNI network plugin used by the cluster supports NetworkPolicy. There are a number of CNI network plugins that support NetworkPolicy, including Calico, Cilium, Kube-router, Romana and Weave Net.
      enabled: true # Enable or disable network policies.
    ippool: # Use Pod IP Pools to manage the Pod network address space. Pods to be created can be assigned IP addresses from a Pod IP Pool.
      type: calico # Specify "calico" for this field if Calico is used as your CNI plugin. "none" means that Pod IP Pools are disabled.
    topology: # Use Service Topology to view Service-to-Service communication based on Weave Scope.
      type: none # Specify "weave-scope" for this field to enable Service Topology. "none" means that Service Topology is disabled.
  openpitrix: # An App Store that is accessible to all platform tenants. You can use it to manage apps across their entire lifecycle.
    store:
      enabled: true # Enable or disable the KubeSphere App Store.
  servicemesh:         # (0.3 Core, 300 MiB) Provide fine-grained traffic management, observability and tracing, and visualized traffic topology.
    enabled: true     # Base component (pilot). Enable or disable KubeSphere Service Mesh (Istio-based).
  kubeedge:          # Add edge nodes to your cluster and deploy workloads on edge nodes.
    enabled: true   # Enable or disable KubeEdge.
    cloudCore:
      nodeSelector: {"node-role.kubernetes.io/worker": ""}
      tolerations: []
      cloudhubPort: "10000"
      cloudhubQuicPort: "10001"
      cloudhubHttpsPort: "10002"
      cloudstreamPort: "10003"
      tunnelPort: "10004"
      cloudHub:
        advertiseAddress: # At least a public IP address or an IP address which can be accessed by edge nodes must be provided.
          - ""            # Note that once KubeEdge is enabled, CloudCore will malfunction if the address is not provided.
        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: []

 

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