利用ansible来做kubernetes 1.10.3集群高可用的一键部署

请读者务必保持环境一致

安装过程中需要下载所需系统包,请务必使所有节点连上互联网

本次安装的集群节点信息


实验环境:VMware的虚拟机

IP地址 主机名 CPU 内存
192.168.77.133 k8s-m1 6核 6G
192.168.77.134 k8s-m2 6核 6G
192.168.77.135 k8s-m3 6核 6G
192.168.77.136 k8s-n1 6核 6G
192.168.77.137 k8s-n2 6核 6G
192.168.77.138 k8s-n3 6核 6G

另外由所有 master节点提供一组VIP 192.168.77.140

本次安装的集群拓扑图


image.png

本次使用到的ROLE

ansible role怎么用请看下面文章

集群安装方式

以static pod方式安装kubernetes ha高可用集群。

Ansible管理节点操作


OS: CentOS Linux release 7.4.1708 (Core)
ansible: 2.5.3

安装Ansible
# yum -y install ansible
# ansible --version
ansible 2.5.3
  config file = /etc/ansible/ansible.cfg
  configured module search path = [u'/root/.ansible/plugins/modules', u'/usr/share/ansible/plugins/modules']
  ansible python module location = /usr/lib/python2.7/site-packages/ansible
  executable location = /usr/bin/ansible
  python version = 2.7.5 (default, Aug  4 2017, 00:39:18) [GCC 4.8.5 20150623 (Red Hat 4.8.5-16)]
配置ansible
# sed -i 's|#host_key_checking|host_key_checking|g' /etc/ansible/ansible.cfg
下载role
# yum -y install git
# git clone https://github.com/kuailemy123/Ansible-roles.git /etc/ansible/roles
正克隆到 '/etc/ansible/roles'...
remote: Counting objects: 1767, done.
remote: Compressing objects: 100% (20/20), done.
remote: Total 1767 (delta 5), reused 24 (delta 4), pack-reused 1738
接收对象中: 100% (1767/1767), 427.96 KiB | 277.00 KiB/s, done.
处理 delta 中: 100% (639/639), done.
下载kubernetes-files.zip文件

这是为了适应国情,导出所需的谷歌docker image,方便大家使用。

文件下载链接:https://pan.baidu.com/s/1BNMJLEVzCE8pvegtT7xjyQ 密码:qm4k

# yum -y install unzip
# unzip kubernetes-files.zip -d /etc/ansible/roles/kubernetes/files/
配置主机信息
# cat /etc/ansible/hosts
[k8s-master]
192.168.77.133
192.168.77.134
192.168.77.135
[k8s-node]
192.168.77.136
192.168.77.137
192.168.77.138
[k8s-cluster:children]
k8s-master
k8s-node
[k8s-cluster:vars]
ansible_ssh_pass=123456

k8s-master组为所有的master节点主机。k8s-node组为所有的node节点主机。k8s-cluster包含k8s-masterk8s-node组的所有主机。

请注意, 主机名称请用小写字母, 大写字母会出现找不到主机的问题。

配置playbook
# cat /etc/ansible/k8s.yml
---
# 初始化集群
- hosts: k8s-cluster
  serial: "100%"
  any_errors_fatal: true
  vars:
    - ipnames:
        '192.168.77.133': 'k8s-m1'
        '192.168.77.134': 'k8s-m2'
        '192.168.77.135': 'k8s-m3'
        '192.168.77.136': 'k8s-n1'
        '192.168.77.137': 'k8s-n2'
        '192.168.77.138': 'k8s-n3'
  roles:
    - hostnames
    - repo-epel
    - docker

# 安装master节点
- hosts: k8s-master
  any_errors_fatal: true
  vars:
    - kubernetes_master: true
    - kubernetes_apiserver_vip: 192.168.77.140
  roles:
    - kubernetes

# 安装node节点
- hosts: k8s-node
  any_errors_fatal: true
  vars:
    - kubernetes_node: true
    - kubernetes_apiserver_vip: 192.168.77.140
  roles:
    - kubernetes
    
# 安装addons应用
- hosts: k8s-master
  any_errors_fatal: true
  vars:
    - kubernetes_addons: true
    - kubernetes_ingress_controller: nginx
    - kubernetes_apiserver_vip: 192.168.77.140
  roles:
    - kubernetes

kubernetes_ingress_controller 还可以选择traefik

执行playbook
# ansible-playbook /etc/ansible/k8s.yml
......
real    26m44.153s
user    1m53.698s
sys 0m55.509s

验证集群版本
# kubectl version
Client Version: version.Info{Major:"1", Minor:"10", GitVersion:"v1.10.3", GitCommit:"2bba0127d85d5a46ab4b778548be28623b32d0b0", GitTreeState:"clean", BuildDate:"2018-05-21T09:17:39Z", GoVersion:"go1.9.3", Compiler:"gc", Platform:"linux/amd64"}
Server Version: version.Info{Major:"1", Minor:"10", GitVersion:"v1.10.3", GitCommit:"2bba0127d85d5a46ab4b778548be28623b32d0b0", GitTreeState:"clean", BuildDate:"2018-05-21T09:05:37Z", GoVersion:"go1.9.3", Compiler:"gc", Platform:"linux/amd64"}
验证集群状态
kubectl -n kube-system get po -o wide -l k8s-app=kube-proxy
kubectl -n kube-system get po -l k8s-app=kube-dns
kubectl -n kube-system get po -l k8s-app=calico-node -o wide
calicoctl node status
kubectl -n kube-system get po,svc -l k8s-app=kubernetes-dashboard
kubectl -n kube-system get po,svc | grep -E 'monitoring|heapster|influxdb'
kubectl -n ingress-nginx get pods
kubectl -n kube-system get po -l app=helm
kubectl -n kube-system logs -f kube-scheduler-k8s-m2
helm version

这里就不写结果了。

查看addons访问信息

在第一台master服务器上

kubectl cluster-info
Kubernetes master is running at https://192.168.77.140:6443
Elasticsearch is running at https://192.168.77.140:6443/api/v1/namespaces/kube-system/services/elasticsearch-logging/proxy
heapster is running at https://192.168.77.140:6443/api/v1/namespaces/kube-system/services/heapster/proxy
Kibana is running at https://192.168.77.140:6443/api/v1/namespaces/kube-system/services/kibana-logging/proxy
kube-dns is running at https://192.168.77.140:6443/api/v1/namespaces/kube-system/services/kube-dns:dns/proxy
monitoring-grafana is running at https://192.168.77.140:6443/api/v1/namespaces/kube-system/services/monitoring-grafana/proxy
monitoring-influxdb is running at https://192.168.77.140:6443/api/v1/namespaces/kube-system/services/monitoring-influxdb:http/proxy
# cat ~/k8s_addons_access

集群部署完成后,建议重启集群所有节点。

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