使用kubeadm部署k8s

说明

  • 系统环境 ```shell lmf@lmf:~$ cat /etc/issue Ubuntu 18.04.5 LTS \n \l

lmf@lmf:~$ cat /proc/meminfo | grep MemTotal MemTotal: 4015812 kB

lmf@lmf:~$ cat /proc/cpuinfo | grep model\ name model name : Intel(R) Core(TM) i5-10500 CPU @ 3.10GHz model name : Intel(R) Core(TM) i5-10500 CPU @ 3.10GHz model name : Intel(R) Core(TM) i5-10500 CPU @ 3.10GHz model name : Intel(R) Core(TM) i5-10500 CPU @ 3.10GHz

### 安装docker
- 该步骤参考[清华大学 Docker Community Edition 镜像使用帮助](https://mirrors.tuna.tsinghua.edu.cn/help/docker-ce/), 如果已安装请忽略
- 确保 Cgroup Driver 为systemed  
![图一:docker 信息](https://raw.githubusercontent.com/liangpinglk/note/master/picture/deploy-k8s/docker-info.png)
- 设置docker 的Cgroup Driver 为systemd
```shell
sudo mkdir -p /etc/docker

sudo tee /etc/docker/daemon.json <<-'EOF'
{
  "registry-mirrors": ["https://m0m3chw3.mirror.aliyuncs.com"],
  "exec-opts": ["native.cgroupdriver=systemd"]
}
EOF

sudo systemctl daemon-reload
sudo systemctl restart docker

安装kubelet kubeadm kubectl

sudo apt-get update && sudo apt-get install -y apt-transport-https
curl https://mirrors.aliyun.com/kubernetes/apt/doc/apt-key.gpg | sudo apt-key add -

cat <<EOF | sudo tee /etc/apt/sources.list.d/kubernetes.list
deb https://mirrors.aliyun.com/kubernetes/apt/ kubernetes-xenial main
EOF

sudo apt-get update
sudo apt-get install -y kubelet kubeadm kubectl

部署

 sudo kubeadm init   --apiserver-advertise-address=192.168.60.51   --image-repository registry.aliyuncs.com/google_containers    --pod-network-cidr=10.244.0.0/16

--apiserver-advertise-address 填本机ip

部署成功后会显示如下:

图二:k8s部署成功提示

参考

使用到的参考

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