使用kubeadm 快速部署k8s
卸载之前的docker
sudo yum remove docker docker-client docker-client-latest docker-common docker-latest docker-latest-logrotate docker-logrotate docker-engine
yum remove docker-ce docker-ce-cli containerd.io -y
安装docker
sudo yum install -y yum-utils device-mapper-persistent-data lvm2 设置 docker repo 的 yum 位置 sudo yum-config-manager --add-repo https://download.docker.com/linux/centos/docker-ce.repo
yum - y install wget
wget https://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo -O /etc/yum.repos.d/docker-ce.repo
yum -y install docker-ce-18.06.1.ce-3.el7
systemctl enable docker && systemctl start docker
docker --version
Docker version 18.06.1-ce, build e68fc7a
为docker配置加速
$ cat > /etc/docker/daemon.json << EOF
{
"registry-mirrors": ["https://b9pmyelo.mirror.aliyuncs.com"]
}
EOF
sudo systemctl daemon-reload
sudo systemctl restart docker
配置开机启动
systemctl enable docker
到这使用虚拟机备份，备份一下
添加阿里云YUM软件源
cat > /etc/yum.repos.d/kubernetes.repo << EOF [kubernetes] name=Kubernetes baseurl=https://mirrors.aliyun.com/kubernetes/yum/repos/kubernetes-el7-x86_64 enabled=1 gpgcheck=0 repo_gpgcheck=0 gpgkey=https://mirrors.aliyun.com/kubernetes/yum/doc/yum-key.gpg https://mirrors.aliyun.com/kubernetes/yum/doc/rpm-package-key.gpg EOF
查看现在源中的版本
yum list|grep kube
然后执行
yum install -y kubelet-1.18.0 kubeadm-1.18.0 kubectl-1.18.0 systemctl enable kubelet
systemctl start kubelet
systemctl status kubelet
查看状态，是没启动的，不用管
接下来就是只在master节点执行
如果需要其他版本那么执行
kubeadm config images list --kubernetes-version=v1.18.0
查看版本需要的组件的版本然后修改脚本
#!/bin/bash
images=(
kube-apiserver:v1.18.0
kube-proxy:v1.18.0
kube-controller-manager:v1.18.0
kube-scheduler:v1.18.0
coredns:1.6.7
etcd:3.4.3-0
pause:3.2
)
for imageName in ${images[@]} ; do
docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/$imageName
# docker tag registry.cn-hangzhou.aliyuncs.com/google_containers/$imageName k8s.gcr.io/$imageName
done
把这个脚本通过ftp传到master节点进行执行
然后执行
或者
vim get_image.sh
#!/bin/bash
url=registry.cn-hangzhou.aliyuncs.com/google_containers
version=v1.18.0
images=(`kubeadm config images list --kubernetes-version=$version|awk -F '/' '{print $2}'`)
for imagename in ${images[@]} ; do
docker pull $url/$imagename
docker tag $url/$imagename k8s.gcr.io/$imagename
docker rmi -f $url/$imagename
done
这样就不需要查看版本了
master节点执行
kubeadm init \ --apiserver-advertise-address=10.0.2.15 \ --image-repository registry.aliyuncs.com/google_containers \ --kubernetes-version v1.18.0 \ --service-cidr=10.96.0.0/12 \ --pod-network-cidr=10.244.0.0/16
如果之前初始化没成功那么这里再执行应该会报错
error execution phase preflight: [preflight] Some fatal errors occurred: [ERROR FileAvailable--etc-kubernetes-manifests-kube-apiserver.yaml]: /etc/kubernetes/manifests/kube-apiserver.yaml already exists
执行
kubeadm reset
就可以了
然后再执行一遍kubeadm init的命令
fannel网络
正常情况下网络访问不到
在https://www.ipaddress.com/查询raw.githubusercontent.com的真实IP。 sudo vim /etc/hosts 添加到最后一行 185.199.108.133 raw.githubusercontent.com 然后查看一下，应该就显示成功了coreDNS就不是pending状态了 kubectl get pods -n kube-system
kubectl apply -f kube-flannel.yml
然后会看到初始化成功
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 10.0.2.15:6443 --token ls6rzk.kmjrwpedv9qvsywe \
--discovery-token-ca-cert-hash sha256:85256ca4826a6fb659ce83a583f0cd144bccd63cfc5255e6b17f2d47e31ce635
然后按照命令行中输出的提示执行
mkdir -p $HOME/.kube sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config sudo chown $(id -u):$(id -g) $HOME/.kube/config $ kubectl get nodes
node加入
kubeadm join 10.0.2.15:6443 --token ls6rzk.kmjrwpedv9qvsywe \
--discovery-token-ca-cert-hash sha256:85256ca4826a6fb659ce83a583f0cd144bccd63cfc5255e6b17f2d47e31ce635
kubectl get pods -n kube-system
查看状态
