Kubernetes集群上搭建KubeSphere 教程

一、简介

        KubeSphere®️ 是基于 Kubernetes 构建的分布式、多租户、多集群、企业级开源容器平台，具有强大且完善的网络与存储能力，并通过极简的人机交互提供完善的多集群管理、CI / CD 、微服务治理、应用管理等功能，帮助企业在云、虚拟化及物理机等异构基础设施上快速构建、部署及运维容器架构，实现应用的敏捷开发与全生命周期管理。

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二、安装的步骤以及机器要求

• 选择4核8G（master）、8核16G（node1）、8核16G（node2） 三台机器，按量付费进行实验，CentOS7.9

• 安装Docker
• 安装Kubernetes
• 安装KubeSphere前置环境
• 安装KubeSphere

三、安装Docker

1、执行如下的命令(3台一起)

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://8nkiv83o.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、检查docker

由上可以知道docker已经安装好了 

四、安装Kubernetes

1、基本环境（3台机器都要操作）

每个机器使用内网ip互通

每个机器配置自己的hostname，不能用localhost

#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 <

这里我们配置3台机器的主机名分别为k8s-master,node1以及node2

 后面几个关闭swap安装命令执行即可

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2、安装kubelet、kubeadm、kubectl（3台机器都要操作）

#配置k8s的yum源地址
cat <> /etc/hosts

3、初始化master节点(这个只用在master节点执行即可)

kubeadm init \
--apiserver-advertise-address=主机ip地址 \
--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=172.31.0.0/16

--service-cidr=10.96.0.0/16：这个表示的是svc的网段地址范围

--pod-network-cidr=172.31.0.0/16：这个定义的是后面创建pod的网段地址范围

记录master执行完成后的日志，记录关键信息,下面的是：

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 negcwo.3xwa4834xtoeko66 \
    --discovery-token-ca-cert-hash sha256:b07662c84b743677cbc9e85d52274ca36fe6489c217fbe48b6d1001b458a2f9f \
    --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 negcwo.3xwa4834xtoeko66 \
    --discovery-token-ca-cert-hash sha256:b07662c84b743677cbc9e85d52274ca36fe6489c217fbe48b6d1001b458a2f9f

根据上面的关键信息，执行给与我们的命令：

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

执行完上面的命令我们就能够使用kubectl命令了：

 4、安装Calico网络插件

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

kubectl apply -f calico.yaml

注意：上面的calio.yaml我们需要修改一下CALICO_IPV4POOL_CIDR属性,修改为我们上面定义的--pod-network-cidr=172.31.0.0/16，

 等待这几个pod安装完成

 

5、加入worker节点

由上面的关键信息给的命令到两个从节点执行下面的命令：

kubeadm join k8s-master:6443 --token negcwo.3xwa4834xtoeko66 \
    --discovery-token-ca-cert-hash sha256:b07662c84b743677cbc9e85d52274ca36fe6489c217fbe48b6d1001b458a2f9f

再次查看新增的pods是否成功：

可以看到全部成功(时间有点长) 

到主节点查看集群是否安装成功：

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五、安装KubeSphere前置环境

1、安装nfs-server

# 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,在master 执行
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,在master 执行
exportfs -r


#检查配置是否生效,在master 执行
exportfs

 2、配置nfs-client（选做，在两台从节点操作）

showmount -e 主机ip地址

mkdir -p /nfs/data

mount -t nfs 主机ip地址:/nfs/data /nfs/data

[root@node1 ~]# showmount -e 192.168.0.164
Export list for 192.168.0.164:
/nfs/data *
[root@node1 ~]# mkdir -p /nfs/data
[root@node1 ~]# mount -t nfs 192.168.0.164:/nfs/data /nfs/data
[root@node1 ~]#

3、配置默认存储

配置动态供应的默认存储类，之前我们配置过pv资源，必须要提前创建出来，然后创建pvc去申请合适的pv资源，那么现在我们想不需要提前创建pv资源，想提交pvc申请之后，动态的给我们分配一个指定大小的资源

下面创建一个sc.yaml文件，内容如下：

## 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: 192.168.0.164 ## 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: 192.168.0.164
            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

 通过上面的kubectl apply -f sc.yaml执行之后，可以看到已经成功！

4、metrics-server

这个是集群指标监控组件，用来监控集群CPU等信息

创建一个metrics.yaml文件，内容如下：

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

执行上面的文件：kubectl apply -f metrics.yaml

 

 查看是否安装成功：kubectl top nodes

 由上可以看到我们集群的CPU、内存使用情况

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六、安装KubeSphere

1、下载核心文件

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

 执行上面的命令，下载下来下面的两个文件：

 2、修改cluster-configuration.yaml文件

   2.1、首先开启etcd的监控功能，ip地址是我们主节点ip

 2.2、开启redis以及轻量级协议功能

 2.3、开启系统告警、审计、devops、事件、日志功能

 2.4、打开网络、指定calico、打开应用商店、打开servicemesh、kubeedge

 3、执行安装

kubectl apply -f kubesphere-installer.yaml

kubectl apply -f cluster-configuration.yaml

 现在就是等待组件安装完成

上面这个安装器完成之后可以使用日志命令查看安装进度：

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

 由上面可以发现正在安装

注意，我们需要在我们阿里云的安全组中将k8s相关的端口都开放，k8s的端口范围
是30000-32767，

下面kubesphere安装完成，如下：

 从上面可以看到默认的用户名和密码：

最好确认所有的pod都安装完：

 上面这个prometheus-k8s-0需要安装一个东西,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

上面所有的pod都安装完成结束

我们在k8s3台集群服务随机选择一个ip加上端口访问

 地址：http://ip地址:30880

 

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