kubeadm是官方社区推出的一个用于快速部署kubernetes集群的工具。
这个工具能通过两条指令完成一个kubernetes集群的部署:
创建一个 Master 节点
$ kubeadm init
将一个 Node 节点加入到当前集群中
$ kubeadm join <Master节点的IP和端口 >
1. 安装要求
- 一台或多台机器,操作系统 CentOS7.x-86_x64
- 硬件配置:2GB或更多RAM,2个CPU或更多CPU,硬盘30GB或更多
- 集群中所有机器之间网络互通
- 可以访问外网,需要拉取镜像
- 禁止swap分区
2.学习目标
- 在所有节点上安装Docker和kubeadm
- 部署Kubernetes Master
- 部署容器网络插件
- 部署 Kubernetes Node,将节点加入Kubernetes集群中
- 部署Dashboard Web页面,可视化查看Kubernetes资源
3.准备环境
[root@k8s-master ~]# cat /etc/redhat-release
CentOS Linux release 7.7.1908 (Core)
关闭防火墙:
$ systemctl stop firewalld
$ systemctl disable firewalld
关闭selinux:
$ sed -i ‘s/enforcing/disabled/‘ /etc/selinux/config
$ setenforce 0
关闭swap:
$ swapoff -a $ 临时
$ vim /etc/fstab $ 永久
添加主机名与IP对应关系(记得设置主机名):
$ cat /etc/hosts
192.168.219.132 k8s-master
192.168.219.133 k8s-node1
192.168.219.134 k8s-node2
将桥接的IPv4流量传递到iptables的链:
$ cat > /etc/sysctl.d/k8s.conf << EOF
net.bridge.bridge-nf-call-ip6tables = 1
net.bridge.bridge-nf-call-iptables = 1
EOF
$ sysctl --system
更换阿里云YUM源
[root@k8s-master ~]# rm -rf /etc/yum.repos.d/*
[root@k8s-master ~]# curl -o /etc/yum.repos.d/CentOS-Base.repo http://mirrors.aliyun.com/repo/Centos-7.repo
安装docker
yum install -y yum-utils device-mapper-persistent-data lvm2
yum-config-manager --add-repo https://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo
yum -y install docker-ce
systemctl start docker && systemctl enable docker
添加阿里云加速器
[root@k8s-master ~]# mkdir -p /etc/docker
[root@k8s-master ~]# tee /etc/docker/daemon.json <<-‘EOF‘
{
"registry-mirrors": ["https://38qjhfs2.mirror.aliyuncs.com"]
}
EOF
[root@k8s-master ~]# systemctl daemon-reload
[root@k8s-master ~]# systemctl restart docker
添加kubernetes阿里云yum源
cat <<EOF > /etc/yum.repos.d/kubernetes.repo
[kubernetes]
name=Kubernetes
baseurl=https://mirrors.aliyun.com/kubernetes/yum/repos/kubernetes-el7-x86_64/
enabled=1
gpgcheck=1
repo_gpgcheck=1
gpgkey=https://mirrors.aliyun.com/kubernetes/yum/doc/yum-key.gpg https://mirrors.aliyun.com/kubernetes/yum/doc/rpm-package-key.gpg
EOF
安装kubectl、kubelet、kubeadm
yum install kubectl kubelet kubeadm -y
systemctl enable kubelet && systemctl start kubelet
以下为只在master部署
部署 kubernetes master
kubeadm init --apiserver-advertise-address=192.168.219.132 --image-repository registry.aliyuncs.com/google_containers --kubernetes-version v1.18.0 --service-cidr=10.1.0.0/16 --pod-network-cidr=10.244.0.0/16
出现以下提示表示安装成功
记录生成的最后部分内容,此内容需要在其它节点加入Kubernetes集群时执行。
Your Kubernetes control-plane 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/
Then you can join any number of worker nodes by running the following on each as root:
kubeadm join 192.168.219.132:6443 --token v6ikkp.r81cc0w4jxk3qzu3 --discovery-token-ca-cert-hash sha256:080838261e0a9569ae465a579d0c4cd21ff443cd0aec460de9809de7dfacaa78
创建kubectl
[root@k8s-master ~]# mkdir -p $HOME/.kube
[root@k8s-master ~]# cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
[root@k8s-master ~]# chown $(id -u):$(id -g) $HOME/.kube/config
执行下面命令,使kubectl可以自动补全
[root@k8s-master ~]# source <(kubectl completion bash)
kubectl自动补全依赖bash-completion,可以测试下运行:
type _init_completion
如果报错则没有安装,运行下面命令安装
yum install bash-completion
然后运行下面命令
echo "source /usr/share/bash-completion/bash_completion" >> ~/.bashrc
echo ‘source <(kubectl completion bash)‘ >>~/.bashrc
source ~/.bashrc
type _init_completion #再次检查是否有正常内容输出
查看nodes信息
node节点为NotReady,因为corednspod没有启动,缺少网络pod
[root@k8s-master ~]# kubectl get nodes
NAME STATUS ROLES AGE VERSION
k8s-master NotReady master 73m v1.18.4
[root@k8s-master ~]# kubectl get pod --all-namespaces
NAMESPACE NAME READY STATUS RESTARTS AGE
kube-system coredns-7ff77c879f-jjp5n 0/1 Pending 0 74m
kube-system coredns-7ff77c879f-jrzhx 0/1 Pending 0 74m
kube-system etcd-k8s-master 1/1 Running 0 74m
kube-system kube-apiserver-k8s-master 1/1 Running 0 74m
kube-system kube-controller-manager-k8s-master 1/1 Running 0 74m
kube-system kube-proxy-f6p5m 1/1 Running 0 74m
kube-system kube-scheduler-k8s-master 1/1 Running 0 74m
安装flannel 插件
[root@k8s-master ~]#kubectl apply -f
https://raw.githubusercontent.com/coreos/flannel/a70459be0084506e4ec919aa1c114638878db1
1b/Documentation/kube-flannel.yml
这里被墙了,需要单独下载kube-flannel.yml文件。
再执行
kubectl apply -f kube-flannel.yml
[root@k8s-master ~]# kubectl get pods --all-namespaces
NAMESPACE NAME READY STATUS RESTARTS AGE
kube-system coredns-7ff77c879f-jjp5n 1/1 Running 0 131m
kube-system coredns-7ff77c879f-jrzhx 1/1 Running 0 131m
kube-system etcd-k8s-master 1/1 Running 0 131m
kube-system kube-apiserver-k8s-master 1/1 Running 0 131m
kube-system kube-controller-manager-k8s-master 1/1 Running 0 131m
kube-system kube-flannel-ds-amd64-tj54j 1/1 Running 0 28s
kube-system kube-proxy-f6p5m 1/1 Running 0 131m
kube-system kube-scheduler-k8s-master 1/1 Running 0 131m
在nodes执行添加节点的命令,之前拷贝的命令复制过来。
kubeadm join 192.168.219.132:6443 --token v6ikkp.r81cc0w4jxk3qzu3 --discovery-token-ca-cert-hash sha256:080838261e0a9569ae465a579d0c4cd21ff443cd0aec460de9809de7dfacaa78
可以看到集群建立成功
[root@k8s-master ~]# kubectl get nodes
NAME STATUS ROLES AGE VERSION
k8s-master Ready master 141m v1.18.4
k8s-node1 Ready <none> 2m v1.18.4
k8s-node2 Ready <none> 20s v1.18.4
在集群中建立一个pod,看是否能正常运行。
kubectl create deployment nginx --image=nginx
kubectl expose deployment nginx --port=80 --type=NodePort
[root@k8s-master ~]# kubectl get pods,svc
NAME READY STATUS RESTARTS AGE
pod/nginx-f89759699-k9gsg 1/1 Running 0 112s
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
service/kubernetes ClusterIP 10.1.0.1 <none> 443/TCP 143m
service/nginx NodePort 10.1.157.205 <none> 80:30135/TCP 9s
接下来部署Dashboard
和flannel一样,都是被墙了,需要自定义。并且暴露到外网。
kubectl apply -f recommended.yml
kind: Service
apiVersion: v1
metadata:
labels:
k8s-app: dashboard-metrics-scraper
name: dashboard-metrics-scraper
namespace: kubernetes-dashboard
spec:
type: NodePort
ports:
- port: 8000
targetPort: 8000
nodePort: 30001
selector:
k8s-app: dashboard-metrics-scraper
[root@k8s-master ~]# kubectl get pods -n kubernetes-dashboard
NAME READY STATUS RESTARTS AGE
dashboard-metrics-scraper-6b4884c9d5-f5l46 1/1 Running 0 7m3s
kubernetes-dashboard-67768d44c-t8hsc 1/1 Running 0 7m3s
创建service account并绑定默认cluster-admin管理员集群角色:
kubectl create serviceaccount dashboard-admin -n kube-system
kubectl create clusterrolebinding serviceaccounts-cluster-admin --clusterrole=cluster-admin --group=system:serviceaccounts
kubectl describe secrets -n kube-system $(kubectl -n kube-system get secret | awk
‘/dashboard-admin/{print $1}‘)