3台CentOS7系统，k8s-master ip 172.31.0.140、k8s-node1 ip 172.31.0.141、k8s-node2 ip 172.31.0.142
在3台主机的hosts文件里添加记录：
172.31.0.140 cluster-endpoint
配置yum源
yum install -y yum-utils
yum-config-manager \
--add-repo \
http://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo
安装docker
yum install -y docker-ce-20.10.7 docker-ce-cli-20.10.7 containerd.io-1.4.6
配置加速
mkdir -p /etc/docker
tee /etc/docker/daemon.json <<-'EOF'
{
"registry-mirrors": ["https://82m9ar63.mirror.aliyuncs.com"],
"exec-opts": ["native.cgroupdriver=systemd"],
"log-driver": "json-file",
"log-opts": {
"max-size": "100m"
},
"storage-driver": "overlay2"
}
EOF
设置开机自启
systemctl daemon-reload
systemctl enable docker --now
关闭swap
swapoff -a
sed -ri 's/.*swap.*/#&/' /etc/fstab
允许 iptables 检查桥接流量
cat <<EOF | sudo tee /etc/modules-load.d/k8s.conf
br_netfilter
EOF
cat <<EOF | sudo tee /etc/sysctl.d/k8s.conf
net.bridge.bridge-nf-call-ip6tables = 1
net.bridge.bridge-nf-call-iptables = 1
EOF
sysctl --system
安装kubelet、kubeadm、kubectl
cat <<EOF | sudo tee /etc/yum.repos.d/kubernetes.repo
[kubernetes]
name=Kubernetes
baseurl=http://mirrors.aliyun.com/kubernetes/yum/repos/kubernetes-el7-x86_64
enabled=1
gpgcheck=0
repo_gpgcheck=0
gpgkey=http://mirrors.aliyun.com/kubernetes/yum/doc/yum-key.gpg
http://mirrors.aliyun.com/kubernetes/yum/doc/rpm-package-key.gpg
exclude=kubelet kubeadm kubectl
EOF
yum install -y kubelet-1.20.9 kubeadm-1.20.9 kubectl-1.20.9 --disableexcludes=kubernetes
systemctl enable --now kubelet
* kubelet 现在每隔几秒就会重启，因为它陷入了一个等待 kubeadm 指令的死循环
下载各个机器需要的镜像
sudo tee ./images.sh <<-'EOF'
#!/bin/bash
images=(
kube-apiserver:v1.20.9
kube-proxy:v1.20.9
kube-controller-manager:v1.20.9
kube-scheduler:v1.20.9
coredns:1.7.0
etcd:3.4.13-0
pause:3.2
)
for imageName in ${images[@]} ; do
docker pull registry.cn-hangzhou.aliyuncs.com/lfy_k8s_images/$imageName
done
EOF
chmod +x ./images.sh && ./images.sh
* 以后操作，在3台机器上都要执行
初始化主节点
kubeadm init \
--apiserver-advertise-address=172.31.0.140 \
--control-plane-endpoint=cluster-endpoint \
--image-repository registry.cn-hangzhou.aliyuncs.com/lfy_k8s_images \
--kubernetes-version v1.20.9 \
--service-cidr=10.96.0.0/16 \
--pod-network-cidr=192.168.0.0/16
在master上执行下面提示中的3条命令，并将另两台机器作为节点加入集群
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
Alternatively, if you are the root user, you can run:
export KUBECONFIG=/etc/kubernetes/admin.conf
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 control-plane nodes by copying certificate authorities
and service account keys on each node and then running the following as root:
kubeadm join cluster-endpoint:6443 --token n27mfc.k9kz4iaeubanezpb \
--discovery-token-ca-cert-hash sha256:47c8c55b3f7b966f823d427fcb9dac49a2653f2d0aec6c87baba8391e968ea44 \
--control-plane
Then you can join any number of worker nodes by running the following on each as root:
kubeadm join cluster-endpoint:6443 --token n27mfc.k9kz4iaeubanezpb \
--discovery-token-ca-cert-hash sha256:47c8c55b3f7b966f823d427fcb9dac49a2653f2d0aec6c87baba8391e968ea44
初始化集群网络
wget https://docs.projectcalico.org/v3.19/manifests/calico.yaml --no-check-certificate
kubectl create -f calico.yaml
安装dashboard
wget https://raw.githubusercontent.com/kubernetes/dashboard/v2.3.1/aio/deploy/recommended.yaml
kubectl apply -f recommended.yaml
更改成NodePort方式
kubectl edit svc kubernetes-dashboard -n kubernetes-dashboard
type: NodePort
查看映射端口
[root@k8s-master ~]# kubectl get svc -n kubernetes-dashboard
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
dashboard-metrics-scraper ClusterIP 10.96.111.141 <none> 8000/TCP 3m42s
kubernetes-dashboard NodePort 10.96.34.195 <none> 443:30020/TCP 3m43s
登录设置
1.创建相应账号：
dashboard.yaml
apiVersion: v1
kind: ServiceAccount
metadata:
name: admin-user
namespace: kubernetes-dashboard
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
name: admin-user
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: ClusterRole
name: cluster-admin
subjects:
- kind: ServiceAccount
name: admin-user
namespace: kubernetes-dashboard
kubectl apply -f dashboard.yaml
2.获取登录dashboard的token：
kubectl -n kubernetes-dashboard get secret $(kubectl -n kubernetes-dashboard get sa/admin-user -o jsonpath="{.secrets[0].name}") -o go-template="{{.data.token | base64decode}}"
使用上面获取的token即可登录dashboard！