利用kubeadm快速部署k8s

内外网络互通

[root@k8s-1 ~]# cat /etc/redhat-release 
CentOS Linux release 7.6.1810 (Core) 

 配置k8syum仓库,及Docker-ceyum仓库

[root@k8s-1 yum.repos.d]# vim  /etc/yum.repos.d/kubernetes.repo
[kubernetes]
name=kubernetes
baseurl=https://mirrors.aliyun.com/kubernetes/yum/repos/kubernetes-el7-x86_64/
gpgcheck=0
enable=1

[root@k8s-1 yum.repos.d]# wget https://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo
--2019-05-10 11:03:16--  https://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo
正在解析主机 mirrors.aliyun.com (mirrors.aliyun.com)... 47.246.0.251, 47.246.0.253, 47.246.0.254, ...
正在连接 mirrors.aliyun.com (mirrors.aliyun.com)|47.246.0.251|:443... 已连接。
已发出 HTTP 请求,正在等待回应... 200 OK
长度:2640 (2.6K) [application/octet-stream]
正在保存至: “docker-ce.repo”

100%[====================================================================================================================================================================================================================================>] 2,640       --.-K/s 用时 0s      

2019-05-10 11:03:17 (152 MB/s) - 已保存 “docker-ce.repo” [2640/2640])

 安装

[root@k8s-1 yum.repos.d]# yum install docker-ce kubelet kubeadm  kubectl kubernetes-cni

  设置开机自启启动docker

[root@k8s-1 yum.repos.d]# systemctl enable docker

  设置开机自启启动kubelet

[root@k8s-1 yum.repos.d]# systemctl enable kubelet.service

  启动docker与kubelet

[root@k8s-1 yum.repos.d]# systemctl start docker
[root@k8s-1 yum.repos.d]# systemctl start kubelet

  由于国内网络原因,kubernetes的镜像托管在google云上,无法直接下载,所以直接把把镜像搞下来有个技术大牛把gcr.io的镜像每天同步到https://github.com/anjia0532/gcr.io_mirror这个站点,因此,如果需要用到gcr.io的镜像,可以执行如下的脚本进行镜像拉取

 

[root@k8s-1 yum.repos.d]#  vim pullimages.sh

#!/bin/bash
images=(kube-proxy-amd64:v1.11.1 kube-scheduler-amd64:v1.11.1 kube-controller-manager-amd64:v1.11.1
kube-apiserver-amd64:v1.11.1 etcd-amd64:3.2.18 coredns:1.1.3 pause:3.1 )
for imageName in ${images[@]} ; do
docker pull anjia0532/google-containers.$imageName
docker tag anjia0532/google-containers.$imageName k8s.gcr.io/$imageName
docker rmi anjia0532/google-containers.$imageName
done
[root@k8s-1 yum.repos.d]# sh pullimages.sh

  kubernetes集群不允许开启swap

[root@k8s-1 yum.repos.d]# vi /etc/fstab


#
# /etc/fstab
# Created by anaconda on Wed May  8 12:34:12 2019
#
# Accessible filesystems, by reference, are maintained under '/dev/disk'
# See man pages fstab(5), findfs(8), mount(8) and/or blkid(8) for more info
#
/dev/mapper/centos-root /                       xfs     defaults        0 0
UUID=6c895b50-de9d-4a3e-8a25-3867ac58f21c /boot                   xfs     defaults        0 0
#/dev/mapper/centos-swap swap                    swap    defaults        0 0   永久禁用

[root@k8s-1 yum.repos.d]#  swapoff -a  临时关闭,当前生效

  编写kubeadm.yaml;kubeadm 1.14 配置文件

[root@k8s-1 yum.repos.d]# cd
[root@k8s-1 ~]# vim kubeadm.yaml 

apiVersion: kubeadm.k8s.io/v1beta1
kind: ClusterConfiguration
controllerManager:
    extraArgs:
        horizontal-pod-autoscaler-use-rest-clients: "true"
        horizontal-pod-autoscaler-sync-period: "10s"
        node-monitor-grace-period: "10s"
apiServer:
    extraArgs:
        runtime-config: "api/all=true"
kubernetesVersion: "stable-1.14"

  启动

[root@k8s-1 ~]# kubeadm init --config kubeadm.yaml

  这样就可以完成 Kubernetes Master 的部署了,这个过程只需要几分钟,部署完成后,kubeadm 会生成一行指令:

kubeadm join 192.168.183.7:6443 --token 18ov5i.7l91ujayrn6x29d1 \
    --discovery-token-ca-cert-hash sha256:5914bfca1399d70664a90ef0d80c8aa776e1b2a5aa203b30613131e47808149c

  配置kubectl与apiserver的认证

[root@k8s-1 ~]# mkdir -p $HOME/.kube
[root@k8s-1 ~]# sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
[root@k8s-1 ~]# sudo chown $(id -u):$(id -g) $HOME/.kube/config

  检查健康

[root@k8s-1 ~]# kubectl get cs
NAME                 STATUS    MESSAGE             ERROR
scheduler            Healthy   ok                  
controller-manager   Healthy   ok                  
etcd-0               Healthy   {"health":"true"}

  检查状态

[root@k8s-1 ~]# kubectl get nodes
NAME    STATUS     ROLES    AGE   VERSION
k8s-1   NotReady   master   22m   v1.14.1

       部署网络插件

[root@k8s-1 ~]# kubectl apply -f https://git.io/weave-kube-1.6
serviceaccount/weave-net created
clusterrole.rbac.authorization.k8s.io/weave-net created
clusterrolebinding.rbac.authorization.k8s.io/weave-net created
role.rbac.authorization.k8s.io/weave-net created
rolebinding.rbac.authorization.k8s.io/weave-net created
daemonset.extensions/weave-net created

  查看状态

[root@k8s-1 ~]# kubectl get pods -n kube-system
NAME                            READY   STATUS    RESTARTS   AGE
coredns-fb8b8dccf-bhst6         1/1     Running   0          28m
coredns-fb8b8dccf-mtmsl         1/1     Running   0          28m
etcd-k8s-1                      1/1     Running   0          27m
kube-apiserver-k8s-1            1/1     Running   0          27m
kube-controller-manager-k8s-1   1/1     Running   0          27m
kube-proxy-ww2kz                1/1     Running   0          28m
kube-scheduler-k8s-1            1/1     Running   0          27m
weave-net-mg6m4                 2/2     Running   0          69s

  

   其中,为节点打上“污点”(Taint)的命令是:

[root@k8s-1 ~]# kubectl taint nodes --all node-role.kubernetes.io/master-
node/k8s-1 untainted

  可视化插件,下载镜像  参考:https://github.com/kubernetes/dashboard

[root@k8s-1 ~]# wget https://raw.githubusercontent.com/kubernetes/dashboard/v1.10.1/src/deploy/recommended/kubernetes-dashboard.yaml
--2019-05-10 11:59:19--  https://raw.githubusercontent.com/kubernetes/dashboard/v1.10.1/src/deploy/recommended/kubernetes-dashboard.yaml
正在解析主机 raw.githubusercontent.com (raw.githubusercontent.com)... 151.101.0.133, 151.101.64.133, 151.101.128.133, ...
正在连接 raw.githubusercontent.com (raw.githubusercontent.com)|151.101.0.133|:443... 已连接。
已发出 HTTP 请求,正在等待回应... 200 OK
长度:4577 (4.5K) [text/plain]
正在保存至: “kubernetes-dashboard.yaml”

100%[====================================================================================================================================================================================================================================>] 4,577       --.-K/s 用时 0s      

2019-05-10 11:59:20 (32.5 MB/s) - 已保存 “kubernetes-dashboard.yaml” [4577/4577])

  

  

 

posted @ 2019-05-25 10:36  烟雨楼台,行云流水  阅读(1410)  评论(0编辑  收藏  举报