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利用fabric + kubeadm 在Centos7 上快速搭建k8s 集群(单master)

部署

curl https://bootstrap.pypa.io/get-pip.py | python # 安装pip
pip install fabric # 安装fabric
  1. 配置Linux主机名, 注意主机名必须唯一!
hostname k8s-01 && hostname > /etc/hostname # on 192.168.1.101
hostname k8s-02 && hostname > /etc/hostname # on 192.168.1.102
hostname k8s-03 && hostname > /etc/hostanme # on 192.168.1.103
  1. 配置部署操作机/etc/hosts
192.168.1.101 k8s-01
192.168.1.102 k8s-02
192.168.1.103 k8s-03
  1. 配置集群/etc/hosts
fab -H k8s-01,k8s-02,k8s-03 config_hosts /etc/hosts
  1. 配置集群yum源
fab -H k8s-01,k8s-02,k8s-03 aliyun_yum
  1. 安装CRI, 使用Docker
fab -H k8s-01,k8s-02,k8s-03 install_docker
  1. 安装k8s 套装
fab -H k8s-01,k8s-02,k8s-03 install_k8s
  1. 初始化集群master, k8s-01 作为master
fab -H k8s-01 init_k8s_master
  1. 加入node, k8s-02,k8s-3 作为node
fab -H k8s-02,k8s-03 join_k8s_cluster
  1. 在master上安装网络插件
fab -H k8s-01 install_weavenet_master
  1. 安装完成查看状态
fab -H k8s-01 -- "kubectl get nodes"

---
NAME     STATUS   ROLES    AGE    VERSION
k8s-01   Ready    master   9m    v1.13.4
k8s-02   Ready    <none>   5m    v1.13.4
k8s-03   Ready    <none>   5m    v1.13.4

测试

  1. 创建deployment
kubectl create deployment hello-k8s --image=docker.io/yangbinnnn/hello-k8s:latest
  1. 查看pods
# kubectl get pods
NAME                         READY   STATUS    RESTARTS   AGE
hello-k8s-5455d6b777-n24gd   1/1     Running   0          13m
  1. 部署服务
kubectl expose deployment hello-k8s --type=LoadBalancer --port=8080
  1. 查看服务
# kubectl get services
NAME         TYPE           CLUSTER-IP       EXTERNAL-IP   PORT(S)          AGE
hello-k8s    LoadBalancer   10.109.181.185   <pending>     8080:31269/TCP   2m20s
  1. 访问服务
# curl -i http://10.109.181.185:8080
HTTP/1.1 200 OK
Date: Thu, 14 Mar 2019 04:03:39 GMT
Connection: keep-alive
Transfer-Encoding: chunked

Hello k8s!