标签: kubernetes

  • 一看就会的kubernetes 1.20.1集群搭建

    最近自己琢磨了下K8S集群环境的搭建,环境搭建很简单,这边整理了v1.20.1版本的搭建步骤

    一、安装前准备

    1、有条件的话直接上腾讯、阿里公有云买3台云主机,最小配置2C2G20G就好

    2、没条件的话,就在自己电脑上用Vmware开3台虚拟机,配置一样2C2G20G

    3、操作系统CentOS 7.x,本文使用的是7.6版本做演示

    二、环境初始化

    分别在3台机器上面执行

    #根据规划设置主机名
    hostnamectl set-hostname master
    hostnamectl set-hostname node1
    hostnamectl set-hostname node2
    
    #添加hosts
    cat >> /etc/hosts << EOF
    192.168.153.129 master
    192.168.153.130 node1
    192.168.153.131 node2
    EOF
    
    #关闭防火墙
    systemctl stop firewalld && systemctl disable firewalld
    
    #关闭selinux
    sed -i 's/enforcing/disabled/' /etc/selinux/config && setenforce 0
    
    #关闭swap
    swapoff -a && sed -ri 's/.*swap.*/#&/' /etc/fstab
    
    #时间同步
    yum install ntpdate -y && ntpdate ntp2.aliyun.com
    
    #配置内核参数,将桥接的IPv4流量传递到iptables的链
    cat > /etc/sysctl.d/k8s.conf <<EOF
    net.bridge.bridge-nf-call-ip6tables = 1
    net.bridge.bridge-nf-call-iptables = 1
    EOF
    sysctl --system
    

    三、安装Docker

    分别在3台机器上面执行

    # 1: 安装必要的一些系统工具
    sudo yum install -y yum-utils device-mapper-persistent-data lvm2
    # 2: 添加软件源信息
    sudo yum-config-manager --add-repo https://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo
    # 3: 更新并安装Docker-CE
    sudo yum makecache fast
    sudo yum -y install docker-ce
    # 4: 开启Docker服务
    sudo systemctl start docker && systemctl enable docker
    
    # 可以通过修改daemon配置文件/etc/docker/daemon.json来使用加速器
    sudo mkdir -p /etc/docker
    sudo tee /etc/docker/daemon.json <<-'EOF'
    {
      "registry-mirrors": ["https://s2q9fn53.mirror.aliyuncs.com"]
    }
    EOF
    sudo systemctl daemon-reload && sudo systemctl restart docker
    

    四、安装kubelet、kubeadm、kubectl

    分别在3台机器上面执行

    #添加kubernetes阿里YUM源
    cat <<EOF > /etc/yum.repos.d/kubernetes.repo
    [kubernetes]
    name=Kubernetes
    baseurl=https://mirrors.aliyun.com/kubernetes/yum/repos/kubernetes-el7-x86_64/
    enabled=1
    gpgcheck=1
    repo_gpgcheck=1
    gpgkey=https://mirrors.aliyun.com/kubernetes/yum/doc/yum-key.gpg https://mirrors.aliyun.com/kubernetes/yum/doc/rpm-package-key.gpg
    EOF
    # 可以用下面的命令查看可以安装的版本
    yum list kubeadm --showduplicates | sort -r
    
    #安装
    yum install -y kubelet-1.20.1-0 kubeadm-1.20.1-0 kubectl-1.20.1-0 --disableexcludes=kubernetes
    
    # 启动开机启动kubelet
    systemctl start kubelet
    systemctl enable kubelet
    

    五、部署Kubernetes Master

    只在master上面执行

    # 创建集群
    kubeadm init --kubernetes-version=v1.20.1 --apiserver-advertise-address=192.168.153.129  --image-repository  registry.aliyuncs.com/google_containers --service-cidr=10.10.0.0/16 --pod-network-cidr=10.122.0.0/16
    
    参数说明:
    kubernetes-version:要安装的版本
    pod-network-cidr:负载容器的子网网段
    service-cidr:svc网段
    image-repository:指定镜像仓库
    apiserver-advertise-address:节点绑定的服务器ip(写master节点IP)
    #提示initialized successfully!表示初始化成功
    
    # 接着根据提示拷贝admin.config的内容到当前用户的$HOME/.kube/config中并授权
    mkdir -p $HOME/.kube
    sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
    sudo chown $(id -u):$(id -g) $HOME/.kube/config
    
    #执行完后可以运行查看node节点情况,这时候可以看到master节点是noready状态,原因是没有部署网络插件
    kubectl get nodes

    六、部署网络插件

    常用的网络插件有flannel和calico,这里选择flannel

    # 创建目录
    mkdir -p /opt/yaml
    # 编辑kube-flannel.yaml
    获取部署flannel的yaml文件(https://raw.githubusercontent.com/coreos/flannel/master/Documentation/kube-flannel.yml)到/opt/yaml目录中,(链接需要翻墙才能访问,这边贴下获取到的内容)
    vim /opt/yaml/kube-flannel.yaml
    ---
    apiVersion: policy/v1beta1
    kind: PodSecurityPolicy
    metadata:
      name: psp.flannel.unprivileged
      annotations:
        seccomp.security.alpha.kubernetes.io/allowedProfileNames: docker/default
        seccomp.security.alpha.kubernetes.io/defaultProfileName: docker/default
        apparmor.security.beta.kubernetes.io/allowedProfileNames: runtime/default
        apparmor.security.beta.kubernetes.io/defaultProfileName: runtime/default
    spec:
      privileged: false
      volumes:
      - configMap
      - secret
      - emptyDir
      - hostPath
      allowedHostPaths:
      - pathPrefix: "/etc/cni/net.d"
      - pathPrefix: "/etc/kube-flannel"
      - pathPrefix: "/run/flannel"
      readOnlyRootFilesystem: false
      # Users and groups
      runAsUser:
        rule: RunAsAny
      supplementalGroups:
        rule: RunAsAny
      fsGroup:
        rule: RunAsAny
      # Privilege Escalation
      allowPrivilegeEscalation: false
      defaultAllowPrivilegeEscalation: false
      # Capabilities
      allowedCapabilities: ['NET_ADMIN', 'NET_RAW']
      defaultAddCapabilities: []
      requiredDropCapabilities: []
      # Host namespaces
      hostPID: false
      hostIPC: false
      hostNetwork: true
      hostPorts:
      - min: 0
        max: 65535
      # SELinux
      seLinux:
        # SELinux is unused in CaaSP
        rule: 'RunAsAny'
    ---
    kind: ClusterRole
    apiVersion: rbac.authorization.k8s.io/v1
    metadata:
      name: flannel
    rules:
    - apiGroups: ['extensions']
      resources: ['podsecuritypolicies']
      verbs: ['use']
      resourceNames: ['psp.flannel.unprivileged']
    - apiGroups:
      - ""
      resources:
      - pods
      verbs:
      - get
    - apiGroups:
      - ""
      resources:
      - nodes
      verbs:
      - list
      - watch
    - apiGroups:
      - ""
      resources:
      - nodes/status
      verbs:
      - patch
    ---
    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-system
    ---
    apiVersion: v1
    kind: ServiceAccount
    metadata:
      name: flannel
      namespace: kube-system
    ---
    kind: ConfigMap
    apiVersion: v1
    metadata:
      name: kube-flannel-cfg
      namespace: kube-system
      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-system
      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
            image: quay.io/coreos/flannel:v0.14.0
            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: quay.io/coreos/flannel:v0.14.0
            command:
            - /opt/bin/flanneld
            args:
            - --ip-masq
            - --kube-subnet-mgr
            resources:
              requests:
                cpu: "100m"
                memory: "50Mi"
              limits:
                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
            volumeMounts:
            - name: run
              mountPath: /run/flannel
            - name: flannel-cfg
              mountPath: /etc/kube-flannel/
          volumes:
          - name: run
            hostPath:
              path: /run/flannel
          - name: cni
            hostPath:
              path: /etc/cni/net.d
          - name: flannel-cfg
            configMap:
              name: kube-flannel-cfg
    # 将quay.io换成quay.mirrors.ustc.edu.cn(中科大)的镜像
    sed -i 's#quay.io/coreos/flannel#quay.mirrors.ustc.edu.cn/coreos/flannel#' /opt/yaml/kube-flannel.yaml
    
    # 部署flannel
    kubectl apply -f /opt/yaml/kube-flannel.yaml
    #等个几分钟,再看master上节点状态就是ready了

    七、扩容node节点进集群

    在两台node上面执行添加命令

    #命令在第五步,创建集群成功后会显示在界面上
    kubeadm join 192.168.153.129:6443 --token 7spol7.nxxabat5ljyws8xo --discovery-token-ca-cert-hash sha256:4f31b94b2beda59334b5da507673752605ab49fde6ef87487c81b314a39b466f
    
    #如果忘记token,可以在master节点重新生成,token有效期24小时
    kubeadm token create --print-join-command
    
    #在master节点上运行查看node节点命令,就可以看到3台node节点了

    八、检查集群状态

    # 查看node状态都是ready
    kubectl get nodes
    
    # 看出pod状态都是running
    kubectl get pod  --all-namespaces
    
    #查看集群状态都是Healthy ok
    kubectl get cs
    如果出现unhealthy,分别修改下面两个文件,注释 - --port=0,然后重启kubelet
    vim /etc/kubernetes/manifests/kube-controller-manager.yaml
    vim /etc/kubernetes/manifests/kube-scheduler.yaml
    systemctl restart kubelet.service

     

  • 如何快速删除K8S集群

    上文分享了如何快速搭建K8S集群《一看就会的kubernetes 1.20.1集群搭建》 ,但是当你在搭建环境时出错了想重新部署,该如果快速清理已搭建的环境呢

    一、清空K8S集群设置

    #在卸载K8s组件前,先执行kubeadm reset命令,清空K8s集群设置
    kubeadm reset

    二、卸载管理组件

    #把之前通过yum安装的管理组件卸载
    yum erase -y kubelet kubectl kubeadm kubernetes-cni

    三、删除基础组件镜像

    #基础组件通过Docker镜像部署,因此只需要强制删除对应镜像即可卸载
    docker rmi -f k8s.gcr.io/kube-apiserver:v1.20.1
     
    docker rmi -f k8s.gcr.io/kube-controller-manager:v1.20.1
     
    docker rmi -f k8s.gcr.io/kube-scheduler:v1.20.1
     
    docker rmi -f k8s.gcr.io/kube-proxy:v1.20.1
     
    docker rmi -f k8s.gcr.io/pause:3.2
     
    docker rmi -f k8s.gcr.io/etcd:3.4.13
     
    docker rmi -f k8s.gcr.io/coredns:1.8.1