kubernetes的安装方法

背景

自己学习k8s集群,无奈屌丝一枚,没钱配置vpn服务,安装k8s花费的时间太久了。为了小伙伴们可以快速安装k8s,我花了点时间整理了这篇博客,提供一个不用*就可以愉快安装k8s集群的方法。

主机环境

主机、IP规划和网络规划

HOSTNAME IP
master 10.8.3.91
node1 10.8.3.81
node2 10.8.3.82

k8s的pod网络采用 10.244.0.0/16 ,网络组件选择flannel,k8s版本选择v1.11.3。

主机名设置

这里使用centos7的hostnamectl设置主机名字, centos其他版本参考: https://www.cnblogs.com/zhaojiedi1992/p/zhaojiedi_linux_043_hostname.html

#master节点
hostnamectl set-hostname master && exec bash
#node1节点
hostnamectl set-hostname node1 && exec bash
#node2节点
hostnamectl set-hostname node2 && exec bash

hosts文件设置

[root@master ~]# vim /etc/hosts 
# 添加如下3行
10.4.3.91 master
10.4.3.81 node1
10.4.3.82 node2
# 其他的2个node节点也需要同样操作

防火墙和selinux设置

[root@master ~]# sed -i "s/^SELINUX\=enforcing/SELINUX\=disabled/g" /etc/selinux/config
[root@master ~]# setenforce
setenforce: SELinux is disabled
[root@master ~]# systemctl stop firewalld
[root@master ~]# systemctl disable firewalld
# 其他的2个node节点也需要同样操作

内核参数开启

[root@master k8s_images]# echo "net.bridge.bridge-nf-call-ip6tables = 1" >>/etc/sysctl.conf
[root@master k8s_images]# echo "net.bridge.bridge-nf-call-iptables = 1" >> /etc/sysctl.conf
[root@master k8s_images]# echo "net.ipv4.ip_forward=1" >> /etc/sysctl.conf
[root@master k8s_images]# sysctl -p
sysctl: cannot stat /proc/sys/net/bridge/bridge-nf-call-ip6tables: No such file or directory
sysctl: cannot stat /proc/sys/net/bridge/bridge-nf-call-iptables: No such file or directory
#加载模块
[root@master k8s_images]# modprobe br_netfilter
[root@master k8s_images]# echo "modprobe br_netfilter" >> /etc/rc.local
#再次重载下
[root@master k8s_images]# sysctl -p 
# 其他的2个node节点也需要同样操作

仓库准备

# 备份旧的repo
[root@master ~]# cd /etc/yum.repos.d/
[root@master yum.repos.d]# ls
CentOS-Base.repo CentOS-Debuginfo.repo CentOS-Media.repo CentOS-Vault.repo
CentOS-CR.repo CentOS-fasttrack.repo CentOS-Sources.repo
[root@master yum.repos.d]# mkdir bak
[root@master yum.repos.d]# mv *.repo bak
[root@master yum.repos.d]# ls
bak
# 下载base,epel
[root@master yum.repos.d]# curl -o /etc/yum.repos.d/CentOS-Base.repo http://mirrors.aliyun.com/repo/Centos-7.repo
[root@master yum.repos.d]# wget -O /etc/yum.repos.d/epel.repo http://mirrors.aliyun.com/repo/epel-7.repo
# 下载k8s repo
[root@master yum.repos.d]# cat <<EOF > /etc/yum.repos.d/kubernetes.repo
[kubernetes]
name=Kubernetes
baseurl=https://mirrors.aliyun.com/kubernetes/yum/repos/kubernetes-el7-x86_64/
enabled=
gpgcheck=
repo_gpgcheck=
gpgkey=https://mirrors.aliyun.com/kubernetes/yum/doc/yum-key.gpg https://mirrors.aliyun.com/kubernetes/yum/doc/rpm-package-key.gpg
EOF
# 其他的2个node节点也需要同样操作

安装k8s

docker和k8s软件安装

[root@master yum.repos.d]# yum install docker kubelet kubeadm kubectl
[root@master yum.repos.d]# systemctl enable docker && systemctl restart docker 
[root@master yum.repos.d]# systemctl enable kubelet && systemctl start kubelet  
# 其他的2个node节点也需要同样操作

docker加速配置


sudo mkdir -p /etc/docker
sudo tee /etc/docker/daemon.json <<-'EOF'
{
"registry-mirrors": ["https://mew8i5li.mirror.aliyuncs.com"]
}
EOF
sudo systemctl daemon-reload
sudo systemctl restart docker
# 其他的2个node节点也需要同样操作

曲线下载k8s所需的镜像

这个我是在dockerhub上面的自动构建,原理就是拉去构建的镜像,给这个镜像打tag为k8s.gcr.io的tag,这样我们在初始化集群的时候就不会再去国外拉取镜像文件。

我的dockerhub:https://hub.docker.com/r/zhaojiedi1992

我的github仓库:https://github.com/zhaojiedi1992/k8s_images

[root@master ~]# cd /root
[root@master ~]# mkdir git
[root@master ~]# cd git/
[root@master git]# git clone https://github.com/zhaojiedi1992/k8s_images.git
[root@master git]# cd k8s_images/
[root@master k8s_images]# ls
create_script.sh pull_image_from_dockerhub_v1.10.6.sh README.md v1.10.6
pull_image_from_dockerhub.template pull_image_from_dockerhub_v1.10.7.sh tmp.txt v1.10.7
pull_image_from_dockerhub_v1.10.0.sh pull_image_from_dockerhub_v1.10.8.sh v1.10.0 v1.10.8
pull_image_from_dockerhub_v1.10.1.sh pull_image_from_dockerhub_v1.11.0.sh v1.10.1 v1.
pull_image_from_dockerhub_v1.10.2.sh pull_image_from_dockerhub_v1.11.1.sh v1.10.2 v1.11.0
pull_image_from_dockerhub_v1.10.3.sh pull_image_from_dockerhub_v1.11.2.sh v1.10.3 v1.11.1
pull_image_from_dockerhub_v1.10.4.sh pull_image_from_dockerhub_v1.11.3.sh v1.10.4 v1.11.2
pull_image_from_dockerhub_v1.10.5.sh pull_image_from_dockerhub_v1..sh v1.10.5 v1.11.3
[root@master k8s_images]# chmod a+x *.sh # 查看安装的k8s版本对应需要的镜像
[root@master k8s_images]# kubeadm config images list --kubernetes-version=v1.11.3
k8s.gcr.io/kube-apiserver-amd64:v1.11.3
k8s.gcr.io/kube-controller-manager-amd64:v1.11.3
k8s.gcr.io/kube-scheduler-amd64:v1.11.3
k8s.gcr.io/kube-proxy-amd64:v1.11.3
k8s.gcr.io/pause:3.1
k8s.gcr.io/etcd-amd64:3.2.
k8s.gcr.io/coredns:1.1. # 查看脚本的镜像和需要拉去的是否一致。
[root@master k8s_images]# cat ./pull_image_from_dockerhub_v1.11.3.sh
#!/bin/bash
gcr_name=k8s.gcr.io
myhub_name=zhaojiedi1992
# define images
images=(
kube-apiserver-amd64:v1.11.3
kube-controller-manager-amd64:v1.11.3
kube-scheduler-amd64:v1.11.3
kube-proxy-amd64:v1.11.3
pause:3.1
etcd-amd64:3.2.
coredns:1.1.
)
for image in ${images[@]}; do
docker pull $myhub_name/$image
docker tag $myhub_name/$image $gcr_name/$image
docker rmi $myhub_name/$image
done # 确认上面的无错误,开始下载。
[root@master k8s_images]# ./pull_image_from_dockerhub_v1.11.3.sh
[root@master k8s_images]# docker image ls
REPOSITORY TAG IMAGE ID CREATED SIZE
k8s.gcr.io/pause 3.1 24440bb35d05 About an hour ago kB
k8s.gcr.io/kube-proxy-amd64 v1.11.3 763b3c45ccd2 hours ago 97.8 MB
k8s.gcr.io/kube-scheduler-amd64 v1.11.3 8434ffab1549 hours ago 56.8 MB
k8s.gcr.io/kube-controller-manager-amd64 v1.11.3 3b0d0349c534 hours ago MB
k8s.gcr.io/kube-apiserver-amd64 v1.11.3 306b76250de9 hours ago MB
k8s.gcr.io/coredns 1.1. 6b777875393d hours ago 45.6 MB
k8s.gcr.io/etcd-amd64 3.2. 7dc1bb5c1af1 hours ago MB
# 其他的2个node节点也需要同样操作

初始化k8s

[root@master k8s_images]#  kubeadm  init --pod-network-cidr=10.244.0.0/ --kubernetes-version=v1.11.3
省略大量输出
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 10.4.3.91:6443 --token 1ccx3e.jwbm8pbaq1awiz2z --discovery-token-ca-cert-hash sha256:838517f2d09d04d8ab1d736466311e32db26d2c5a9286fec37204b2de7923a67

客户端设置

这里kubectl客户端的配置设置,我们直接设置到主节点上面来。

[root@master k8s_images]# mkdir -p $HOME/.kube
[root@master k8s_images]# sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
cp: overwrite ‘/root/.kube/config’? y
[root@master k8s_images]# sudo chown $(id -u):$(id -g) $HOME/.kube/config
[root@master k8s_images]# echo " kubeadm join 10.4.3.91:6443 --token 1ccx3e.jwbm8pbaq1awiz2z --discovery-token-ca-cert-hash sha256:838517f2d09d04d8ab1d736466311e32db26d2c5a9286fec37204b2de7923a67" >/root/k8s.json

安装flannel网络组件

[root@master k8s_images]# kubectl  apply -f https://raw.githubusercontent.com/coreos/flannel/master/Documentation/kube-flannel.yml

node1加入集群

[root@node1 k8s_images]#  kubeadm join 10.4.3.91: --token 1ccx3e.jwbm8pbaq1awiz2z --discovery-token-ca-cert-hash sha256:838517f2d09d04d8ab1d736466311e32db26d2c5a9286fec37204b2de7923a67 

这个命令来自与主节点初始化的时候的输出,上面已经保存到主节点的/root/k8s.json。

查看集群状态

[root@master k8s_images]# kubectl get nodes
NAME STATUS ROLES AGE VERSION
master Ready master 17m v1.11.3
node1 Ready <none> 8m v1.11.3
[root@master k8s_images]# kubectl get pod -n kube-system
NAME READY STATUS RESTARTS AGE
coredns-78fcdf6894-5zr25 / Running 17m
coredns-78fcdf6894-82v6w / Running 17m
etcd-master / Running 7m
kube-apiserver-master / Running 7m
kube-controller-manager-master / Running 7m
kube-flannel-ds-amd64-5s962 / Running 4m
kube-flannel-ds-amd64-s2t5b / Running 4m
kube-proxy-ccvdd / Running 17m
kube-proxy-p2fbl / Running 8m
kube-scheduler-master / Running 7m

这个状态需要等一段时间才能全是Running。好了,k8s集群就安装完毕了。

更多k8s.io的镜像可以从https://hub.docker.com/u/anjia0532/这个地方找找。

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