学习KubeSphere记录下安装过程的笔记

环境信息

1. 3台 虚拟机 centos7 2核 8G 30G硬盘

1. 安装Docker

1.1 卸载之前的docker并且安装yum工具类

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

1.2 配置docker的yum地址

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

1.3 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

1.4 启动&开机启动docker

systemctl enable docker --now

1.5 docker加速配置

这里使用阿里云的镜像地址，镜像地址需要自己登陆阿里云获取。

sudo mkdir -p /etc/docker
sudo tee /etc/docker/daemon.json <<-'EOF'
{
  "registry-mirrors": ["此处改为自己的镜像地址"],
  "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. 多节点集群环境部署KubeSphere

本文演示为3台机器。

2.1 安装Kubernetes

每个机器需要设置自己的hostname
hostnamectl set-hostname masternode
将 SELinux 设置为 permissive 模式（相当于将其禁用）
零时关闭 sudo setenforce 0
永久关闭 sudo sed -i 's/^SELINUX=enforcing$/SELINUX=permissive/' /etc/selinux/config
关闭swap(高版本要求关闭)
零时关闭 swapoff -a
永久关闭 sed -ri 's/.*swap.*/#&/' /etc/fstab
允许 iptables 检查桥接流量

cat <<EOF | sudo tee /etc/modules-load.d/k8s.conf
br_netfilter
EOF
cat <<EOF | sudo tee /etc/sysctl.d/k8s.conf
net.bridge.bridge-nf-call-ip6tables = 1
net.bridge.bridge-nf-call-iptables = 1
EOF

sudo sysctl --system

2.2安装kubelet、kubeadm、kubectl

配置Kubernetes的yum源地址，下面为阿里地址也可以配置其他镜像源

cat <<EOF | sudo tee /etc/yum.repos.d/kubernetes.repo
[kubernetes]
name=Kubernetes
baseurl=http://mirrors.aliyun.com/kubernetes/yum/repos/kubernetes-el7-x86_64
enabled=1
gpgcheck=0
repo_gpgcheck=0
gpgkey=http://mirrors.aliyun.com/kubernetes/yum/doc/yum-key.gpg
   http://mirrors.aliyun.com/kubernetes/yum/doc/rpm-package-key.gpg
EOF

安装 kubelet，kubeadm，kubect组件（当前版本1.20.9，也可以使用其他版本）
sudo yum install -y kubelet-1.20.9 kubeadm-1.20.9 kubectl-1.20.9
启动kubelet
sudo systemctl enable --now kubelet
给所有节点的机器配置master域名解析。
echo "你的主节点ip 你的主节点名" >> /etc/hosts

2.3初始化master节点

只在master节点上执行。

 kubeadm init \
--apiserver-advertise-address=你的master节点ip \
--control-plane-endpoint=你的master节点名 \
--image-repository registry.aliyuncs.com/google_containers \
--kubernetes-version v1.20.9 \
--service-cidr=10.96.0.0/16 \
--pod-network-cidr=192.168.0.0/16

参数说明

• apiserver-advertise-address=192.168.181.2 这个参数就是master主机的IP地址，例如我的Master主机的IP是：192.168.181.2
• image-repository=registry.aliyuncs.com/google_containers 这个是镜像地址，由于国外地址无法访问，故使用的阿里云仓库地址：registry.aliyuncs.com/google_containers
• kubernetes-version=v1.20.9 这个参数是下载的k8s软件版本号
• service-cidr=10.96.0.0/16 这个参数后的IP地址直接就套用10.96.0.0/16 ,以后安装时也套用即可，不要更改
• pod-network-cidr=192.168.0.0/16 k8s内部的pod节点之间网络可以使用的IP段，不能和service-cidr写一样

如果报错超时错误切换镜像源为需要重新执行使用命令清理 kubeadm reset
成功之后需要记录结果

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 jwmaster:6443 --token er24bv.t8jv4dxrh01rqjiv \
    --discovery-token-ca-cert-hash sha256:5bdecdb6b4bb1cee0358a3911eac0e36e9f1b77e49c323c665e4acb3b50f2311 \
    --control-plane 

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

kubeadm join jwmaster:6443 --token er24bv.t8jv4dxrh01rqjiv \
    --discovery-token-ca-cert-hash sha256:5bdecdb6b4bb1cee0358a3911eac0e36e9f1b77e49c323c665e4acb3b50f2311 

并且根据结果提示，拷贝上面内容的命令执行例如如下命令，也需要在master节点上执行。

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

执行之后就可以使用命令操作集群了例如kubectl get nodes

2.4 安装Calico网络插件

curl https://docs.projectcalico.org/v3.20/manifests/calico.yaml -O
kubectl apply -f calico.yaml

到这里集群环境的mater节点就创建完毕，

2.5加入集群的worker节点

在worker节点执行，分别为多master和单master的情况

多master
  kubeadm join jwmaster:6443 --token er24bv.t8jv4dxrh01rqjiv \
    --discovery-token-ca-cert-hash sha256:5bdecdb6b4bb1cee0358a3911eac0e36e9f1b77e49c323c665e4acb3b50f2311 \
    --control-plane 
Then you can join any number of worker nodes by running the following on each as root:
单master
kubeadm join jwmaster:6443 --token er24bv.t8jv4dxrh01rqjiv \
    --discovery-token-ca-cert-hash sha256:5bdecdb6b4bb1cee0358a3911eac0e36e9f1b77e49c323c665e4acb3b50f2311 

如果遇到命令阻塞的情况检查防火墙是否允许端口访问。零时关闭 systemctl stop firewalld 永久关闭 systemctl disable firewalld --now

3. 安装KubeSphere前置环境

3.1 安装nfs文件系统服务器

安装nfs-server
在每个机器上安装nfs-utils
yum install -y nfs-utils
在master 执行以下命令,执行命令启动 nfs 服务并且创建共享目录并且生效配置,检查配置是否生效exportfs
echo "/nfs/data/ *(insecure,rw,sync,no_root_squash)" > /etc/exports
mkdir -p /nfs/data
systemctl enable rpcbind
systemctl enable nfs-server
systemctl start rpcbind
systemctl start nfs-server
exportfs -r

3.2配置nfs-client

showmount -e 192.168.8.106
mkdir -p /nfs/data
mount -t nfs 192.168.8.106:/nfs/data /nfs/data

3.3 配置默认存储

## 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: 192.168.8.106 ## 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: 192.168.8.106
            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

创建一个yaml文件，并且使用命令 kubectl apply -f sc.yaml 创建pod,创建好之后使用kubectl get sc查看配置是否生效。

3.4 安装metrics-server集群指标监控组件

创建metrics.yaml使用命令kubectl apply -f ./metrics.yaml 创建pod，安装好之后使用kubectl top nodes 即可查看每个节点的cpu内存等使用情况。

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

4. 安装KubeSphere

4.1 下载核心文件

wget https://github.com/kubesphere/ks-installer/releases/download/v3.1.1/kubesphere-installer.yaml
wget https://20.205.243.166/kubesphere/ks-installer/releases/download/v3.1.1/cluster-configuration.yaml

4.2 执行安装

kubectl apply -f kubesphere-installer.yaml
kubectl apply -f cluster-configuration.yaml
#解决找不到证书的问题
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

4.3 使用命令查看进度

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

4.4查看pod详细信息

kubectl describe pod -n (pod name)