• 02-kubeadm初始化Kubernetes集群


    部署

    使用 kubeadm 安装kubernetes集群。

    组件分布

    部署环境

    kubeadm 步骤

    1. master, node: 安装 kubelet, kubeadm, docker
    2. master: kubeadm init 初始化
    3. nodes: kubeadm join 加入集群 参考文章

    基础环境

    主机名 角色 IP 系统版本 内核版本
    master.kubernetes master 10.0.20.20 CentOS 7.5 5.1.4-1.el7.elrepo.x86_64
    node01.kubernetes node01 10.0.20.21 CentOS 7.5 5.1.4-1.el7.elrepo.x86_64
    node02.kubernetes node02 10.0.20.22 CentOS 7.5 5.1.4-1.el7.elrepo.x86_64
    node03.kubernetes node03 10.0.20.23 CentOS 7.5 5.1.4-1.el7.elrepo.x86_64

    基础配置

    针对所有机器操作

    配置添加hosts

    cat /etc/hosts
    10.0.20.20 master master.kubernetes
    10.0.20.21 node01 node01.kubernetes
    10.0.20.22 node02 node02.kubernetes
    10.0.20.23 node03 node03.kubernetes
    

    关闭防火墙

    systemctl disable firewalld
    systemctl stop firewalld
    

    禁用SELINUX

    setenforce 0
    
    vi /etc/selinux/config
    SELINUX=disabled
    

    创建/etc/sysctl.d/k8s.conf文件,添加如下内容

    net.bridge.bridge-nf-call-ip6tables = 1
    net.bridge.bridge-nf-call-iptables = 1
    net.ipv4.ip_forward = 1
    
    # 执行命令使修改生效
    modprobe br_netfilter
    sysctl -p /etc/sysctl.d/k8s.conf
    

    kube-proxy开启ipvs的前置条件

    node01node02node03上执行以下脚本

    由于ipvs已经加入到了内核的主干,所以为kube-proxy开启ipvs的前提需要加载以下的内核模块

    ip_vs
    ip_vs_rr
    ip_vs_wrr
    ip_vs_sh
    nf_conntrack_ipv4
    
    cat > /etc/sysconfig/modules/ipvs.modules <<EOF
    #!/bin/bash
    modprobe -- ip_vs
    modprobe -- ip_vs_rr
    modprobe -- ip_vs_wrr
    modprobe -- ip_vs_sh
    modprobe -- nf_conntrack
    EOF
    chmod 755 /etc/sysconfig/modules/ipvs.modules && bash /etc/sysconfig/modules/ipvs.modules && lsmod | grep -e ip_vs -e nf_conntrack
    

    上面脚本创建了的/etc/sysconfig/modules/ipvs.modules文件,保证在节点重启后能自动加载所需模块。 使用lsmod | grep -e ip_vs -e nf_conntrack命令查看是否已经正确加载所需的内核模块。

    接下来还需要确保各个节点上已经安装了ipset软件包yum install ipset。 为了便于查看ipvs的代理规则,最好安装一下管理工具ipvsadm yum install ipvsadm。

    如果以上前提条件如果不满足,则即使kube-proxy的配置开启了ipvs模式,也会退回到iptables模式。

    安装基础组件

    配置yum

    在所有节点上执行

    # cat /etc/yum.repos.d/kubernetes.repo 
    [kubernetes]
    name=Kubernetes Repo
    baseurl=https://mirrors.aliyun.com/kubernetes/yum/repos/kubernetes-el7-x86_64/
    gpgcheck=0
    
    # cat /etc/yum.repos.d/docker-ce.repo 
    [docker-ce-stable]
    name=Docker CE Stable - $basearch
    baseurl=https://mirrors.aliyun.com/docker-ce/linux/centos/7/$basearch/stable
    enabled=1
    gpgcheck=1
    gpgkey=https://mirrors.aliyun.com/docker-ce/linux/centos/gpg
    
    [docker-ce-stable-debuginfo]
    name=Docker CE Stable - Debuginfo $basearch
    baseurl=https://mirrors.aliyun.com/docker-ce/linux/centos/7/debug-$basearch/stable
    enabled=0
    gpgcheck=1
    gpgkey=https://mirrors.aliyun.com/docker-ce/linux/centos/gpg
    
    [docker-ce-stable-source]
    name=Docker CE Stable - Sources
    baseurl=https://mirrors.aliyun.com/docker-ce/linux/centos/7/source/stable
    enabled=0
    gpgcheck=1
    gpgkey=https://mirrors.aliyun.com/docker-ce/linux/centos/gpg
    
    [docker-ce-edge]
    name=Docker CE Edge - $basearch
    baseurl=https://mirrors.aliyun.com/docker-ce/linux/centos/7/$basearch/edge
    enabled=0
    gpgcheck=1
    gpgkey=https://mirrors.aliyun.com/docker-ce/linux/centos/gpg
    
    [docker-ce-edge-debuginfo]
    name=Docker CE Edge - Debuginfo $basearch
    baseurl=https://mirrors.aliyun.com/docker-ce/linux/centos/7/debug-$basearch/edge
    enabled=0
    gpgcheck=1
    gpgkey=https://mirrors.aliyun.com/docker-ce/linux/centos/gpg
    
    [docker-ce-edge-source]
    name=Docker CE Edge - Sources
    baseurl=https://mirrors.aliyun.com/docker-ce/linux/centos/7/source/edge
    enabled=0
    gpgcheck=1
    gpgkey=https://mirrors.aliyun.com/docker-ce/linux/centos/gpg
    
    [docker-ce-test]
    name=Docker CE Test - $basearch
    baseurl=https://mirrors.aliyun.com/docker-ce/linux/centos/7/$basearch/test
    enabled=0
    gpgcheck=1
    gpgkey=https://mirrors.aliyun.com/docker-ce/linux/centos/gpg
    
    [docker-ce-test-debuginfo]
    name=Docker CE Test - Debuginfo $basearch
    baseurl=https://mirrors.aliyun.com/docker-ce/linux/centos/7/debug-$basearch/test
    enabled=0
    gpgcheck=1
    gpgkey=https://mirrors.aliyun.com/docker-ce/linux/centos/gpg
    
    [docker-ce-test-source]
    name=Docker CE Test - Sources
    baseurl=https://mirrors.aliyun.com/docker-ce/linux/centos/7/source/test
    enabled=0
    gpgcheck=1
    gpgkey=https://mirrors.aliyun.com/docker-ce/linux/centos/gpg
    
    [docker-ce-nightly]
    name=Docker CE Nightly - $basearch
    baseurl=https://mirrors.aliyun.com/docker-ce/linux/centos/7/$basearch/nightly
    enabled=0
    gpgcheck=1
    gpgkey=https://mirrors.aliyun.com/docker-ce/linux/centos/gpg
    
    [docker-ce-nightly-debuginfo]
    name=Docker CE Nightly - Debuginfo $basearch
    baseurl=https://mirrors.aliyun.com/docker-ce/linux/centos/7/debug-$basearch/nightly
    enabled=0
    gpgcheck=1
    gpgkey=https://mirrors.aliyun.com/docker-ce/linux/centos/gpg
    
    [docker-ce-nightly-source]
    name=Docker CE Nightly - Sources
    baseurl=https://mirrors.aliyun.com/docker-ce/linux/centos/7/source/nightly
    enabled=0
    gpgcheck=1
    gpgkey=https://mirrors.aliyun.com/docker-ce/linux/centos/gpg
    

    安装组件

    master上执行

    yum install docker-ce kubelet kubeadm kubectl -y
    
    # 安装完成后,配置忽略Swap
    cat /etc/sysconfig/kubelet 
    KUBELET_EXTRA_ARGS="--fail-swap-on=false"
    

    node01 node02 node03 上执行

    yum install docker-ce kubelet kubeadm -y
    

    初始化 master

    这里都在 master 上操作

    说明: 很重要,由于kubeadm 初始化的时候,默认拉取的镜像访问不了,我把master所需要的镜像已经准备好。

    可以在 百度云盘地址 提取码:a4z9

    导入镜像

    先把下载好的镜像上传到master服务器上,然后导入到docker中。

    [root@master kubernetes.1.15]# ll
    total 869812
    -rw------- 1 root root  40542720 Jul  9 13:54 coredns-1.3.tar
    -rw------- 1 root root 258365952 Jul  9 13:54 etcd-3.3.tar
    -rw------- 1 root root  55390720 Jul  9 15:58 flannel-0.11.tar
    -rw------- 1 root root 208382464 Jul  9 14:27 kube-apiserver-1.15.tar
    -rw------- 1 root root 160282112 Jul  9 13:53 kube-controller-manager-1.15.tar
    -rw------- 1 root root  84278272 Jul  9 13:52 kube-proxy-1.15.tar
    -rw------- 1 root root  82671104 Jul  9 13:53 kube-scheduler-1.15.tar
    -rw------- 1 root root    754176 Jul  9 13:54 pause-3.1.tar
    
    # 导入镜像
    docker load --input coredns-1.3.tar
    docker load --input etcd-3.3.tar
    docker load --input flannel-0.11.tar
    docker load --input kube-apiserver-1.15.tar
    docker load --input kube-controller-manager-1.15.tar
    docker load --input kube-proxy-1.15.tar
    docker load --input kube-scheduler-1.15.tar
    docker load --input pause-3.1.tar
    

    执行命令:

    [root@master ~]# kubeadm init --kubernetes-version=1.15.0 --pod-network-cidr=10.244.0.0/16 --service-cidr=10.96.0.0/12 --ignore-preflight-errors=Swap
    .....
    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
    
    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/
    
    Then you can join any number of worker nodes by running the following on each as root:
    
    kubeadm join 10.0.20.20:6443 --token cgw8vp.c2gw34c6lc2jvw18 
        --discovery-token-ca-cert-hash sha256:ada6c11ac45aadf7581baab773e7ab172bed8fc0df85ff38299a0c5dcb6538ad
    

    注意 最后会输出上面显示的,这里要保留好,之后添加node的时候,用到的,否则添加不了node

    按照初始化最后的提示执行

    [root@master ~]# mkdir -p $HOME/.kube
    [root@master ~]# cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
    

    查看组件状态

    [root@master ~]# kubectl get cs
    NAME                 STATUS    MESSAGE             ERROR
    scheduler            Healthy   ok                  
    controller-manager   Healthy   ok                  
    etcd-0               Healthy   {"health":"true"} 
    

    查看node状态

    [root@master ~]# kubectl get nodes
    NAME                STATUS   ROLES    AGE   VERSION
    master.kubernetes   NoReady    master   66m   v1.15.0
    

    这里看到master的状态是NoReady,是因为没有安装flannel导致的,下面安装

    安装flannel网络

    执行:

    [root@master ~]# kubectl apply -f https://raw.githubusercontent.com/coreos/flannel/master/Documentation/kube-flannel.yml
    podsecuritypolicy.extensions/psp.flannel.unprivileged created
    clusterrole.rbac.authorization.k8s.io/flannel created
    clusterrolebinding.rbac.authorization.k8s.io/flannel created
    serviceaccount/flannel created
    configmap/kube-flannel-cfg created
    

    稍等后再次查看master状态

    [root@master ~]# kubectl get nodes
    NAME                STATUS   ROLES    AGE   VERSION
    master.kubernetes   Ready    master   66m   v1.15.0
    

    查看系统命名空间的pods状态

    [root@master ~]# kubectl get pods -n kube-system
    NAME                                        READY   STATUS    RESTARTS   AGE
    coredns-5c98db65d4-8mzfz                    1/1     Running   0          4m
    coredns-5c98db65d4-spjx8                    1/1     Running   0          4m6s
    etcd-master.kubernetes                      1/1     Running   0          7m24s
    kube-apiserver-master.kubernetes            1/1     Running   0          7m23s
    kube-controller-manager-master.kubernetes   1/1     Running   0          7m32s
    kube-flannel-ds-amd64-wjczq                 1/1     Running   0          48s
    kube-proxy-rmckk                            1/1     Running   0          8m14s
    kube-scheduler-master.kubernetes            1/1     Running   0          7m33s
    
    

    此时master已经初始化完成。

    初始化 node

    同样,先导入node所需的镜像到docker中,然后在执行个初始化命令

    本次在node01 node02 node03 上执行

    三个node节点操作相同

    [root@node01 kubernetes.1.15]# ll
    total 612216
    -rw------- 1 root root  55390720 Jul  9 15:58 flannel-0.11.tar
    -rw------- 1 root root  82671104 Jul  9 13:53 kube-scheduler-1.15.tar
    -rw------- 1 root root    754176 Jul  9 13:54 pause-3.1.tar
    [root@node01 kubernetes.1.15]# docker image ls
    REPOSITORY               TAG                 IMAGE ID            CREATED             SIZE
    k8s.gcr.io/kube-proxy    v1.15.0             d235b23c3570        2 weeks ago         82.4MB
    quay.io/coreos/flannel   v0.11.0-amd64       ff281650a721        5 months ago        52.6MB
    k8s.gcr.io/pause         3.1                 da86e6ba6ca1        18 months ago       742kB
    

    初始化

    执行下列命令:

    [root@node01 ~]# kubeadm join 10.0.20.20:6443 --token cgw8vp.c2gw34c6lc2jvw18     --discovery-token-ca-cert-hash sha256:ada6c11ac45aadf7581baab773e7ab172bed8fc0df85ff38299a0c5dcb6538ad
    [preflight] Running pre-flight checks
    	[WARNING IsDockerSystemdCheck]: detected "cgroupfs" as the Docker cgroup driver. The recommended driver is "systemd". Please follow the guide at https://kubernetes.io/docs/setup/cri/
    [preflight] Reading configuration from the cluster...
    [preflight] FYI: You can look at this config file with 'kubectl -n kube-system get cm kubeadm-config -oyaml'
    [kubelet-start] Downloading configuration for the kubelet from the "kubelet-config-1.15" ConfigMap in the kube-system namespace
    [kubelet-start] Writing kubelet configuration to file "/var/lib/kubelet/config.yaml"
    [kubelet-start] Writing kubelet environment file with flags to file "/var/lib/kubelet/kubeadm-flags.env"
    [kubelet-start] Activating the kubelet service
    [kubelet-start] Waiting for the kubelet to perform the TLS Bootstrap...
    
    This node has joined the cluster:
    * Certificate signing request was sent to apiserver and a response was received.
    * The Kubelet was informed of the new secure connection details.
    
    Run 'kubectl get nodes' on the control-plane to see this node join the cluster.
    
    

    看到上面的最后提示,则表示完成,然后等一会儿后,在master查看效果如下:

    master 验证

    [root@master ~]# kubectl get nodes
    NAME                STATUS   ROLES    AGE   VERSION
    master.kubernetes   Ready    master   84m   v1.15.0
    node01.kubernetes   Ready    <none>   38m   v1.15.0
    node02.kubernetes   Ready    <none>   38m   v1.15.0
    node03.kubernetes   Ready    <none>   40m   v1.15.0
    
    [root@master ~]# kubectl get pods -n kube-system
    NAME                                        READY   STATUS    RESTARTS   AGE
    coredns-5c98db65d4-8mzfz                    1/1     Running   0          80m
    coredns-5c98db65d4-spjx8                    1/1     Running   0          80m
    etcd-master.kubernetes                      1/1     Running   0          83m
    kube-apiserver-master.kubernetes            1/1     Running   0          83m
    kube-controller-manager-master.kubernetes   1/1     Running   0          83m
    kube-flannel-ds-amd64-4szk7                 1/1     Running   0          40m
    kube-flannel-ds-amd64-b4ssp                 1/1     Running   0          38m
    kube-flannel-ds-amd64-nmklz                 1/1     Running   0          39m
    kube-flannel-ds-amd64-wjczq                 1/1     Running   0          77m
    kube-proxy-8fqsz                            1/1     Running   0          39m
    kube-proxy-bkrw4                            1/1     Running   0          40m
    kube-proxy-n75g8                            1/1     Running   0          38m
    kube-proxy-rmckk                            1/1     Running   0          84m
    kube-scheduler-master.kubernetes            1/1     Running   0          83m
    
    [root@master ~]# kubectl get ns
    NAME              STATUS   AGE
    default           Active   85m
    kube-node-lease   Active   85m
    kube-public       Active   85m
    kube-system       Active   85m
    
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  • 原文地址:https://www.cnblogs.com/winstom/p/11159165.html
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