单master集群构建

1.安装容器引擎

    apt-get update
    apt-get install -y apt-transport-https ca-certificates curl software-properties-common

    curl -fsSL https://download.docker.com/linux/ubuntu/gpg | apt-key add -
    add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable"
    apt-get update
 
    apt-get -y install docker-ce=17.03.2~ce-0~ubuntu-xenial

2.安装kubeadm

在没有加速的情况下，必须使用国内源。

    curl -s https://mirrors.aliyun.com/kubernetes/apt/doc/apt-key.gpg | apt-key add -

    vi  /etc/apt/sources.list.d/kubernetes.list
        deb https://mirrors.aliyun.com/kubernetes/apt/ kubernetes-xenial main
    
    apt-get update

    apt-get install -y kubelet=1.10.2-00  kubeadm=1.10.2-00 kubectl=1.10.2-00 kubernetes-cni=0.6.0-00


    kubeadm version
    kubectl version
    cat /etc/systemd/system/kubelet.service.d/10-kubeadm.conf
    systemctl status kubelet


    docker pull anjia0532/kube-apiserver-amd64:v1.10.2
    docker pull anjia0532/kube-controller-manager-amd64:v1.10.2
    docker pull anjia0532/kube-scheduler-amd64:v1.10.2
    docker pull anjia0532/kube-proxy-amd64:v1.10.2
    docker pull anjia0532/etcd-amd64:3.1.12
    docker pull anjia0532/pause-amd64:3.1
    docker pull anjia0532/k8s-dns-sidecar-amd64:1.14.8
    docker pull anjia0532/k8s-dns-kube-dns-amd64:1.14.8
    docker pull anjia0532/k8s-dns-dnsmasq-nanny-amd64:1.14.8

    docker tag anjia0532/kube-apiserver-amd64:v1.10.2 k8s.gcr.io/kube-apiserver-amd64:v1.10.2
    docker tag anjia0532/kube-scheduler-amd64:v1.10.2 k8s.gcr.io/kube-scheduler-amd64:v1.10.2
    docker tag anjia0532/kube-controller-manager-amd64:v1.10.2 k8s.gcr.io/kube-controller-manager-amd64:v1.10.2
    docker tag anjia0532/kube-proxy-amd64:v1.10.2 k8s.gcr.io/kube-proxy-amd64:v1.10.2
    docker tag anjia0532/etcd-amd64:3.1.12 k8s.gcr.io/etcd-amd64:3.1.12
    docker tag anjia0532/pause-amd64:3.1 k8s.gcr.io/pause-amd64:3.1
    docker tag anjia0532/k8s-dns-sidecar-amd64:1.14.8 k8s.gcr.io/k8s-dns-sidecar-amd64:1.14.8
    docker tag anjia0532/k8s-dns-kube-dns-amd64:1.14.8 k8s.gcr.io/k8s-dns-kube-dns-amd64:1.14.8
    docker tag anjia0532/k8s-dns-dnsmasq-nanny-amd64:1.14.8 k8s.gcr.io/k8s-dns-dnsmasq-nanny-amd64:1.14.8

初始化处理：

    kubeadm init --apiserver-advertise-address=148.70.251.10 --kubernetes-version=1.10.2
    （
    kubeadm join 148.70.251.10:6443 --token nh819o.pzcpohatm7p3a5cm --discovery-token-ca-cert-hash sha256:55254659ea80b335a09dd627757d6aecd10b2c6fbdaddc63dd9bae9ec353cc49
    ）

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

查看mster组件运行情况

  在执行kubeadm init失败之后，我们需要重kubeadm reset会将kubeadm恢复到初始状态。

3.安装网络插件

curl -L "https://cloud.weave.works/k8s/net?k8s-version=$(kubectl version | base64 | tr -d '
')" > weave.yaml

编辑weave.yaml

使配置失效：

kubectl apply -f weave.yaml

查看运行情况：

4.加入worker节点

worker节点也需要和master一样，安装kubeadm辅助工具

#!/usr/bin/bash
#安装容器引擎
apt-get update
apt-get install -y apt-transport-https ca-certificates curl software-properties-common

curl -fsSL https://download.docker.com/linux/ubuntu/gpg | apt-key add -
add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable"
apt-get update

apt-get -y install docker-ce=17.03.2~ce-0~ubuntu-xenial
systemctl restart docker


#镜像下载
docker pull anjia0532/pause-amd64:3.1
docker pull anjia0532/kube-proxy-amd64:v1.10.2
docker tag anjia0532/pause-amd64:3.1 k8s.gcr.io/pause-amd64:3.1
docker tag anjia0532/kube-proxy-amd64:v1.10.2 k8s.gcr.io/kube-proxy-amd64:v1.10.2



#安装kubeadm、kubecet、kubectl
curl -s https://mirrors.aliyun.com/kubernetes/apt/doc/apt-key.gpg | apt-key add -
cat >>  /etc/apt/sources.list.d/kubernetes.list << EOF
deb https://mirrors.aliyun.com/kubernetes/apt/ kubernetes-xenial main
EOF

apt-get update
apt-get install -y kubelet=1.10.2-00  kubeadm=1.10.2-00 kubectl=1.10.2-00 kubernetes-cni=0.6.0-00

kubeadm join 148.70.251.10:6443 --token e4h0ek.9b7drehx2xlexaf5 --discovery-token-ca-cert-hash sha256:70bfd4ed05d1a1f1c12eb817d2978962131aaf0d2b796a87f4100daeb9a85070

查看节点状态：

需要说明的是，master节点也可以承担工作负荷，但是并不建议这样做。

5.配置命令行交互工具

在master节点通过kubectl工具来管理整个集群。
如果我们希望在每个worker节点上都可以管理集群，我们可以配置命令行管理工具。
分发admin.conf文件：

scp /etc/kubernetes/admin.conf root@148.70.122.28:/etc/kubernetes/

添加环境变量（/etc/profile）:

export KUBECONFIG='/etc/kubernetes/admin.conf'

然后在当前节点上就可以通过kubectl来进行管理：