openEuler 部署Kubernetes（K8s）集群

前言

由于工作原因需要使用 openEuler，openEuler官方文档部署K8s集群比较复杂，并且网上相关资料较少，本文是通过实践与测试整理的 openEuler 22.03 部署 Kubernetes 1.20.2 集群操作方法。
这篇文章仅供学习参考，请勿直接用于生产环境。

1. 安装准备

在开始之前，部署 Kubernetes 集群机器需要满足以下几个条件：

• 操作系统：openEuler 22.03
• 硬件配置：2GB或更多RAM，2个CPU或更多CPU，硬盘30GB或更多
• 集群中所有机器之间网络互通
• 可以访问外网，需要拉取镜像

1.1 服务器规划

主机名称	角色	IP地址	配置
openEuler.master01	Master节点	192.168.123.208	CPU 2核，内存 4G，硬盘 40GB
openEuler.node01	Node节点	192.168.123.167	CPU 2核，内存 4G，硬盘 40GB
openEuler.node02	Node节点	192.168.123.213	CPU 2核，内存 4G，硬盘 40GB

1.2 服务器环境配置

1. 修改主机名称

# master01 执行
hostnamectl set-hostname openEuler.master01
# node01 执行
hostnamectl set-hostname openEuler.node01
# node02 执行
hostnamectl set-hostname openEuler.node02

2. 配置host映射

vim /etc/hosts

192.168.123.208 openEuler.master01
192.168.123.167 openEuler.node01
192.168.123.213 openEuler.node02

3. 关闭swap

# 临时关闭swap分区
swapoff -a

4. 关闭防火墙

# 关闭并禁用防火墙
systemctl stop firewalld && systemctl disable firewalld

2. Kubernetes集群安装

2.1 Master节点安装

2.1.1 安装Docker

# 安装docker
dnf install -y docker
# 启用docker
systemctl enable docker && systemctl start docker
# 查看docker版本
docker --version

2.1.2 安装配置Kubernetes组件

# 安装kubeadmin、kubelet、kubernetes-master
dnf install -y kubernetes-kubeadm kubernetes-kubelet kubernetes-master
# 安装conntrack组件（k8s依赖组件）
dnf install -y conntrack
# 配置kubelet开机自启
systemctl enable kubelet.service && systemctl start kubelet.service

# 安装Kubernetes，apiserver-advertise-address 请替换成实际环境中的master节点ip地址，本文环境使用192.168.123.208
kubeadm init --apiserver-advertise-address=192.168.123.208 --image-repository registry.aliyuncs.com/google_containers --kubernetes-version v1.20.2 --service-cidr=10.1.0.0/16 --pod-network-cidr=10.244.0.0/16
# 命令选项说明：
# --apiserver-advertise-address：apiserver通告给其他组件的IP地址，一般应该为Master节点的用于集群内部通信的IP地址，0.0.0.0表示节点上所有可用地址
# --image-repository：指定要使用的镜像仓库，指定为aliyun镜像加速下载
# --kubernetes-version：Kubernetes程序组件的版本号
# --pod-network-cidr：Pod网络的地址范围，其值为CIDR格式的网络地址
# --service-cidr：Service的网络地址范围，其值为CIDR格式的网络地址

看到如下提示安装成功

保存kubeadm join信息

kubeadm join 192.168.123.208:6443 --token 9b3zg3.w9428fz00d993pwo --discovery-token-ca-cert-hash sha256:0287bffb9cc2c10f9ad53dcdc052462cae5ebef63cecb8d53ff689fb6e358b9e 

2.1.3 配置Kubectl

# 配置环境变量
vi /etc/profile

# 在文件底部追加
export KUBECONFIG=/etc/kubernetes/admin.conf
# 应用改变
source /etc/profile

# 查看Master节点状态，此时节点会提示Not Ready，继续下一步 2.1.4 操作
kubectl get nodes

2.1.4 配置网络插件

# 安装cni插件
dnf install -y containernetworking-plugins
# containerd容器运行时 cni相关文件默认路径在/usr/libexec/cni
# flannel 默认读取/opt/cni/bin路径
# 拷贝相关文件
mkdir -p /opt/cni/bin
cp /usr/libexec/cni/* /opt/cni/bin/

# 以下两种方法根据实际情况任选一种安装
# 1. 服务器无法访问github资源-安装方法
# （科学）下载kube-flannel.yml文件放置到 /opt/yaml/kube-flannel.yml
# kube-flannel.yml文件链接：https://raw.githubusercontent.com/coreos/flannel/master/Documentation/kube-flannel.yml
kubectl apply -f /opt/yaml/kube-flannel.yaml
# 查看Master节点状态，此时会提示Ready
kubectl get nodes

# 2. 服务器可以访问github资源-安装方法
kubectl apply -f https://raw.githubusercontent.com/coreos/flannel/master/Documentation/kube-flannel.yml
# 查看Master节点状态，此时节点会提示Ready，Master节点安装完成
kubectl get nodes

附： 2022.12.29 下载的kube-flannel.yml文件，可以手动保存使用

---
kind: Namespace
apiVersion: v1
metadata:
  name: kube-flannel
  labels:
    pod-security.kubernetes.io/enforce: privileged
---
kind: ClusterRole
apiVersion: rbac.authorization.k8s.io/v1
metadata:
  name: flannel
rules:
- apiGroups:
  - ""
  resources:
  - pods
  verbs:
  - get
- apiGroups:
  - ""
  resources:
  - nodes
  verbs:
  - get
  - list
  - watch
- apiGroups:
  - ""
  resources:
  - nodes/status
  verbs:
  - patch
- apiGroups:
  - "networking.k8s.io"
  resources:
  - clustercidrs
  verbs:
  - list
  - watch
---
kind: ClusterRoleBinding
apiVersion: rbac.authorization.k8s.io/v1
metadata:
  name: flannel
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: ClusterRole
  name: flannel
subjects:
- kind: ServiceAccount
  name: flannel
  namespace: kube-flannel
---
apiVersion: v1
kind: ServiceAccount
metadata:
  name: flannel
  namespace: kube-flannel
---
kind: ConfigMap
apiVersion: v1
metadata:
  name: kube-flannel-cfg
  namespace: kube-flannel
  labels:
    tier: node
    app: flannel
data:
  cni-conf.json: |
    {
      "name": "cbr0",
      "cniVersion": "0.3.1",
      "plugins": [
        {
          "type": "flannel",
          "delegate": {
            "hairpinMode": true,
            "isDefaultGateway": true
          }
        },
        {
          "type": "portmap",
          "capabilities": {
            "portMappings": true
          }
        }
      ]
    }
  net-conf.json: |
    {
      "Network": "10.244.0.0/16",
      "Backend": {
        "Type": "vxlan"
      }
    }
---
apiVersion: apps/v1
kind: DaemonSet
metadata:
  name: kube-flannel-ds
  namespace: kube-flannel
  labels:
    tier: node
    app: flannel
spec:
  selector:
    matchLabels:
      app: flannel
  template:
    metadata:
      labels:
        tier: node
        app: flannel
    spec:
      affinity:
        nodeAffinity:
          requiredDuringSchedulingIgnoredDuringExecution:
            nodeSelectorTerms:
            - matchExpressions:
              - key: kubernetes.io/os
                operator: In
                values:
                - linux
      hostNetwork: true
      priorityClassName: system-node-critical
      tolerations:
      - operator: Exists
        effect: NoSchedule
      serviceAccountName: flannel
      initContainers:
      - name: install-cni-plugin
        #image: flannelcni/flannel-cni-plugin:v1.1.2 #for ppc64le and mips64le (dockerhub limitations may apply)
        image: docker.io/rancher/mirrored-flannelcni-flannel-cni-plugin:v1.1.2
        command:
        - cp
        args:
        - -f
        - /flannel
        - /opt/cni/bin/flannel
        volumeMounts:
        - name: cni-plugin
          mountPath: /opt/cni/bin
      - name: install-cni
       #image: flannelcni/flannel:v0.20.2 #for ppc64le and mips64le (dockerhub limitations may apply)
        image: docker.io/rancher/mirrored-flannelcni-flannel:v0.20.2
        command:
        - cp
        args:
        - -f
        - /etc/kube-flannel/cni-conf.json
        - /etc/cni/net.d/10-flannel.conflist
        volumeMounts:
        - name: cni
          mountPath: /etc/cni/net.d
        - name: flannel-cfg
          mountPath: /etc/kube-flannel/
      containers:
      - name: kube-flannel
       #image: flannelcni/flannel:v0.20.2 #for ppc64le and mips64le (dockerhub limitations may apply)
        image: docker.io/rancher/mirrored-flannelcni-flannel:v0.20.2
        command:
        - /opt/bin/flanneld
        args:
        - --ip-masq
        - --kube-subnet-mgr
        resources:
          requests:
            cpu: "100m"
            memory: "50Mi"
        securityContext:
          privileged: false
          capabilities:
            add: ["NET_ADMIN", "NET_RAW"]
        env:
        - name: POD_NAME
          valueFrom:
            fieldRef:
              fieldPath: metadata.name
        - name: POD_NAMESPACE
          valueFrom:
            fieldRef:
              fieldPath: metadata.namespace
        - name: EVENT_QUEUE_DEPTH
          value: "5000"
        volumeMounts:
        - name: run
          mountPath: /run/flannel
        - name: flannel-cfg
          mountPath: /etc/kube-flannel/
        - name: xtables-lock
          mountPath: /run/xtables.lock
      volumes:
      - name: run
        hostPath:
          path: /run/flannel
      - name: cni-plugin
        hostPath:
          path: /opt/cni/bin
      - name: cni
        hostPath:
          path: /etc/cni/net.d
      - name: flannel-cfg
        configMap:
          name: kube-flannel-cfg
      - name: xtables-lock
        hostPath:
          path: /run/xtables.lock
          type: FileOrCreate

2.2 Node节点（两台）安装

2.2.1 安装Docker

# 安装docker
dnf install -y docker
# 启用docker
systemctl enable docker && systemctl start docker
# 查看docker版本
docker --version

2.2.2 安装配置Kubernetes组件

# 安装kubeadmin、kubelet、kubernetes-node
dnf install -y kubernetes-kubeadm kubernetes-kubelet kubernetes-node

# 配置kubelet开机自启
systemctl enable kubelet.service && systemctl start kubelet.service

# containerd 容器运行时cni相关文件默认路径在/usr/libexec/cni
# 拷贝相关文件到cni标准路径
mkdir -p /opt/cni/bin
cp /usr/libexec/cni/* /opt/cni/bin/

# 依据Master节点上创建的token开始join命令，此处可以从 2.1.2 kubeadm init的返回中复制。
kubeadm join 192.168.123.208:6443 --token 9b3zg3.w9428fz00d993pwo --discovery-token-ca-cert-hash sha256:0287bffb9cc2c10f9ad53dcdc052462cae5ebef63cecb8d53ff689fb6e358b9e 

见到如下提示安装成功：

回到Master节点查看状态，稍作等待三个节点都会变为Ready

# Master节点查看状态，稍作等待会提示三个节点Ready
kubectl get nodes

3. 测试Kubernetes集群

1. 在Kubernetes集群中创建一个pod，验证是否正常运行

# Master节点操作
# 创建nginx容器
kubectl create deployment nginx --image=nginx
# 暴露对外端口
kubectl expose deployment nginx --port=80 --type=NodePort
# 查看nginx是否运行成功
kubectl get pod,svc

# 所有节点都可以访问到Nginx
192.168.123.208:30116
192.168.123.167:30116
192.168.123.213:30116

2. 扩容nginx副本测试

# 扩展副本数为3
kubectl scale deployment nginx --replicas=3
# 查看pod状态
kubectl get pods

如下图则扩展成功

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