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    kubeadm快速搭建k8s集群

    環(huán)境

    master01:192.168.1.110 (最少2核CPU)

    node01:192.168.1.100

    規(guī)劃

    services網(wǎng)絡(luò):10.96.0.0/12

    pod網(wǎng)絡(luò):10.244.0.0/16

     

    1.配置hosts解析各主機(jī)

    vim /etc/hosts

    127.0.0.1  localhost localhost.localdomain localhost4 localhost4.localdomain4
    ::1        localhost localhost.localdomain localhost6 localhost6.localdomain6
    192.168.1.110 master01
    192.168.1.100 node01

    2.同步各主機(jī)時(shí)間

    yum install -y ntpdate
    ntpdate time.windows.com

    14 Mar 16:51:32 ntpdate[46363]: adjust time server 13.65.88.161 offset -0.001108 sec

    3.關(guān)閉SWAP,關(guān)閉selinux

    swapoff -a

     

    vim /etc/selinux/config

    # This file controls the state of SELinux on the system.
    # SELINUX= can take one of these three values:
    #    enforcing – SELinux security policy is enforced.
    #    permissive – SELinux prints warnings instead of enforcing.
    #    disabled – No SELinux policy is loaded.
    SELINUX=disabled

     

    4.安裝docker-ce

    yum install -y yum-utils device-mapper-persistent-data lvm2
    yum-config-manager –add-repo http://mirrors.aliyun.com/docker-ce/linux/CentOS/docker-ce.repo
    yum makecache fast
    yum -y install docker-ce

    Docker 安裝后出現(xiàn):WARNING: bridge-nf-call-iptables is disabled 的解決辦法

     

    vim /etc/sysctl.conf

    # sysctl settings are defined through files in
    # /usr/lib/sysctl.d/, /run/sysctl.d/, and /etc/sysctl.d/.
    #
    # Vendors settings live in /usr/lib/sysctl.d/.
    # To override a whole file, create a new file with the same in
    # /etc/sysctl.d/ and put new settings there. To override
    # only specific settings, add a file with a lexically later
    # name in /etc/sysctl.d/ and put new settings there.
    #
    # For more information, see sysctl.conf(5) and sysctl.d(5).
    net.bridge.bridge-nf-call-ip6tables=1
    net.bridge.bridge-nf-call-iptables=1
    net.bridge.bridge-nf-call-arptables=1

     

    systemctl enable docker && systemctl start docker

    5.安裝kubernetes

     

    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
    setenforce 0
    yum install -y kubelet kubeadm kubectl
    systemctl enable kubelet && systemctl start kubelet

     

    6.初始化集群

    kubeadm init –image-repository registry.aliyuncs.com/google_containers –kubernetes-version v1.13.1 –pod-network-cidr=10.244.0.0/16

     

    Your Kubernetes master 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/

    You can now join any number of machines by running the following on each node
    as root:

      kubeadm join 192.168.1.110:6443 –token wgrs62.vy0trlpuwtm5jd75 –discovery-token-ca-cert-hash sha256:6e947e63b176acf976899483d41148609a6e109067ed6970b9fbca8d9261c8d0

     

    7.手動(dòng)部署flannel

    flannel網(wǎng)址:https://github.com/coreos/flannel

    for Kubernetes v1.7+

    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
    daemonset.extensions/kube-flannel-ds-amd64 created
    daemonset.extensions/kube-flannel-ds-arm64 created
    daemonset.extensions/kube-flannel-ds-arm created
    daemonset.extensions/kube-flannel-ds-ppc64le created
    daemonset.extensions/kube-flannel-ds-s390x created

     

    8.node配置

    安裝docker kubelet kubeadm

    docker安裝同步驟4,kubelet kubeadm安裝同步驟5

    9.node加入到master

    kubeadm join 192.168.1.110:6443 –token wgrs62.vy0trlpuwtm5jd75 –discovery-token-ca-cert-hash sha256:6e947e63b176acf976899483d41148609a6e109067ed6970b9fbca8d9261c8d0

    kubectl get nodes  #查看node狀態(tài)

    NAME                    STATUS    ROLES    AGE    VERSION
    localhost.localdomain  NotReady  <none>  130m    v1.13.4
    master01                Ready      master  4h47m  v1.13.4
    node01                  Ready      <none>  94m    v1.13.4

    kubectl get cs  #查看組件狀態(tài)

    NAME                STATUS    MESSAGE              ERROR
    scheduler            Healthy  ok                 
    controller-manager  Healthy  ok                 
    etcd-0              Healthy  {“health”: “true”} 

    kubectl get ns  #查看名稱空間

    NAME          STATUS  AGE
    default      Active  4h41m
    kube-public  Active  4h41m
    kube-system  Active  4h41m

     

    kubectl get pods -n kube-system  #查看pod狀態(tài)

    NAME                              READY  STATUS    RESTARTS  AGE
    coredns-78d4cf999f-bszbk          1/1    Running  0          4h44m
    coredns-78d4cf999f-j68hb          1/1    Running  0          4h44m
    etcd-master01                      1/1    Running  0          4h43m
    kube-apiserver-master01            1/1    Running  1          4h43m
    kube-controller-manager-master01  1/1    Running  2          4h43m
    kube-flannel-ds-amd64-27×59        1/1    Running  1          126m
    kube-flannel-ds-amd64-5sxgk        1/1    Running  0          140m
    kube-flannel-ds-amd64-xvrbw        1/1    Running  0          91m
    kube-proxy-4pbdf                  1/1    Running  0          91m
    kube-proxy-9fmrl                  1/1    Running  0          4h44m
    kube-proxy-nwkl9                  1/1    Running  0          126m
    kube-scheduler-master01            1/1    Running  2          4h43m

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