使用kubeadm部署k8s集群
环境
IP地址 | 主机名 | 节点 |
---|---|---|
10.0.0.63 | k8s-master | master |
10.0.0.65 | k8s-node1 | node1 |
10.0.0.66 | k8s-node2 | node2 |
1. 简要
kubeadm是官方社区推出的快速部署kubernetes集群工具 部署环境适用于学习和使用k8s相关软件和功能
2. 安装要求
3台纯净centos虚拟机,版本为7.x及以上
机器配置 2核4G以上 x3台
服务器网络互通
禁止swap分区
3. 学习目标
学会使用kubeadm来安装一个集群,便于学习k8s相关知识
4. 环境准备
# 1. 关闭防火墙功能
systemctl stop firewalld
systemctl disable firewalld
# 2.关闭selinux
sed -i 's/enforcing/disabled/' /etc/selinux/config
setenforce 0
# 3. 关闭swap
swapoff -a
或将命令加入开机启动
echo "swapoff -a" >>/etc/profile
# 4. 服务器规划
cat > /etc/hosts << EOF
10.0.0.63 k8s-master
10.0.0.65 k8s-node1
10.0.0.66 k8s-node2
EOF
#临时主机名配置方法:
hostnamectl set-hostname k8s-master
bash
#开启转发
cat > /etc/sysctl.d/k8s.conf << EOF
net.bridge.bridge-nf-call-ip6tables = 1
net.bridge.bridge-nf-call-iptables = 1
EOF
sysctl --system
# 以上可以全部复制粘贴直接运行,但是主机名配置需要重新修改
5. docker安装[所有节点都需要安装]
#源添加
wget https://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo -O /etc/yum.repos.d/docker-ce.repo
# 安装指定版版本
yum -y install docker-ce-18.09.9-3.el7
#也可以查看版本安装
yum list docker-ce --showduplicates | sort -r
#启动docker
systemctl start docker
6. docker配置cgroup驱动
cat > /etc/docker/daemon.json <<EOF
{
"exec-opts": ["native.cgroupdriver=systemd"],
"log-driver": "json-file",
"log-opts": {
"max-size": "100m"
},
"storage-driver": "overlay2"
}
EOF
systemctl enable docker
systemctl restart docker
7. 镜像加速
curl -sSL https://get.daocloud.io/daotools/set_mirror.sh | sh -s http://f1361db2.m.daocloud.io
systemctl restart docker
#如果源太多容易出错. 错了就删除一个.bak源试试看
#保留 curl -sSL https://get.daocloud.io/daotools/set_mirror.sh | sh -s http://f1361db2.m.daocloud.io
8.kubernetes源配置
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
9. 安装kubeadm,kubelet和kubectl
yum install -y kubelet-1.16.0 kubeadm-1.16.0 kubectl-1.16.0
systemctl enable kubelet
10. 部署Kubernetes Master [ master 10.0.0.63]
kubeadm init \
--apiserver-advertise-address=10.0.0.63 \
--image-repository registry.aliyuncs.com/google_containers \
--kubernetes-version v1.16.0 \
--service-cidr=10.1.0.0/16 \
--pod-network-cidr=10.244.0.0/16
初始化后获取到token:
kubeadm join 10.0.0.63:6443 --token v3p5pj.1wsrd7ybs6z14o9f
--discovery-token-ca-cert-hash sha256:ef5fb837f9b66fa9742b236b373203df63b1d71651dfc7211f40150d20516d85 记住token,后面使用
10.1. kubectl命令工具配置:
mkdir -p $HOME/.kube
sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
sudo chown $(id -u):$(id -g) $HOME/.kube/config
#获取节点信息
# kubectl get nodes
[root@k8s-master ~]# kubectl get nodes
NAME STATUS ROLES AGE VERSION
k8s-master NotReady master 4m11s v1.16.0
10.2. 安装网络插件
上传kube-flannel.yaml,并执行:
kubectl apply -f kube-flannel.yaml
kubectl get pods -n kube-system
[root@k8s-master ~]# kubectl get pods -n kube-system
NAME READY STATUS RESTARTS AGE
coredns-58cc8c89f4-4rl5b 1/1 Running 0 10m
coredns-58cc8c89f4-dwrch 1/1 Running 0 10m
etcd-k8s-master 1/1 Running 0 9m42s
kube-apiserver-k8s-master 1/1 Running 0 9m17s
kube-controller-manager-k8s-master 1/1 Running 0 9m19s
kube-flannel-ds-amd64-gsv5d 1/1 Running 0 102s
kube-proxy-wjskk 1/1 Running 0 10m
kube-scheduler-k8s-master 1/1 Running 0 9m38s
将node1 node2 加入master
node1加入配置
kubeadm join 10.0.0.63:6443 --token v3p5pj.1wsrd7ybs6z14o9f \
--discovery-token-ca-cert-hash sha256:ef5fb837f9b66fa9742b236b373203df63b1d71651dfc7211f40150d20516d85
#这个配置在安装master的时候有过提示,请注意
# node1加入master:
[root@k8s-node1 ~]# kubeadm join 10.0.0.63:6443 --token v3p5pj.1wsrd7ybs6z14o9f \
> --discovery-token-ca-cert-hash sha256:ef5fb837f9b66fa9742b236b373203df63b1d71651dfc7211f40150d20516d85
[preflight] Running pre-flight checks
[WARNING IsDockerSystemdCheck]: detected "cgroupfs" as the Docker cgroup driver. The recommended driver is "systemd". Please follow the guide at https://kubernetes.io/docs/setup/cri/
[preflight] Reading configuration from the cluster...
[preflight] FYI: You can look at this config file with 'kubectl -n kube-system get cm kubeadm-config -oyaml'
[kubelet-start] Downloading configuration for the kubelet from the "kubelet-config-1.16" ConfigMap in the kube-system namespace
[kubelet-start] Writing kubelet configuration to file "/var/lib/kubelet/config.yaml"
[kubelet-start] Writing kubelet environment file with flags to file "/var/lib/kubelet/kubeadm-flags.env"
[kubelet-start] Activating the kubelet service
[kubelet-start] Waiting for the kubelet to perform the TLS Bootstrap...
This node has joined the cluster:
* Certificate signing request was sent to apiserver and a response was received.
* The Kubelet was informed of the new secure connection details.
Run 'kubectl get nodes' on the control-plane to see this node join the cluster.
#返回值判断对错,0对,其他值均为错
[root@k8s-node1 ~]# echo $?
0
#加入成功后,master节点检测:
[root@k8s-master ~]# kubectl get nodes
NAME STATUS ROLES AGE VERSION
k8s-master Ready master 22m v1.16.0
k8s-node1 Ready <none> 2m9s v1.16.0 <---- node1 成功加入到集群中
#node2加入master:
[root@k8s-node2 docker]# kubeadm join 10.0.0.63:6443 --token v3p5pj.1wsrd7ybs6z14o9f \
> --discovery-token-ca-cert-hash sha256:ef5fb837f9b66fa9742b236b373203df63b1d71651dfc7211f40150d20516d85
[preflight] Running pre-flight checks
[WARNING IsDockerSystemdCheck]: detected "cgroupfs" as the Docker cgroup driver. The recommended driver is "systemd". Please follow the guide at https://kubernetes.io/docs/setup/cri/
[preflight] Reading configuration from the cluster...
[preflight] FYI: You can look at this config file with 'kubectl -n kube-system get cm kubeadm-config -oyaml'
[kubelet-start] Downloading configuration for the kubelet from the "kubelet-config-1.16" ConfigMap in the kube-system namespace
[kubelet-start] Writing kubelet configuration to file "/var/lib/kubelet/config.yaml"
[kubelet-start] Writing kubelet environment file with flags to file "/var/lib/kubelet/kubeadm-flags.env"
[kubelet-start] Activating the kubelet service
[kubelet-start] Waiting for the kubelet to perform the TLS Bootstrap...
This node has joined the cluster:
* Certificate signing request was sent to apiserver and a response was received.
* The Kubelet was informed of the new secure connection details.
Run 'kubectl get nodes' on the control-plane to see this node join the cluster.
[root@k8s-node2 docker]# echo $?
0
#加入成功后,master节点检测:
[root@k8s-master ~]# kubectl get nodes
NAME STATUS ROLES AGE VERSION
k8s-master Ready master 25m v1.16.0
k8s-node1 Ready <none> 4m40s v1.16.0
k8s-node2 Ready <none> 52s v1.16.0
10.3 token创建
默认token会保存24消失,过期后就不可用,如果需要重新建立token,可在master节点使用以下命令重新生成:
kubeadm token create
kubeadm token list
openssl x509 -pubkey -in /etc/kubernetes/pki/ca.crt | openssl rsa -pubin -outform der 2>/dev/null | openssl dgst -sha256 -hex | sed 's/^.* //'
63bca849e0e01691ae14eab449570284f0c3ddeea590f8da988c07fe2729e924
kubeadm join 10.0.0.63:6443 --discovery-token nuja6n.o3jrhsffiqs9swnu --discovery-token-ca-cert-hash 63bca849e0e01691ae14eab449570284f0c3ddeea590f8da988c07fe2729e924
11. 创建一个nginx镜像
kubectl create deployment nginx --image=nginx
kubectl expose deployment nginx --port=80 --type=NodePort
kubectl get pod,svc
查看状态,nginx已经启动端口为:31907:
此时可以通过 集群的3台服务器期中一台来测试访问:
12.部署dashboard图形界面
上传 kubernetes-dashboard.yaml
[root@k8s-master ~]# kubectl apply -f dashboard.yaml
[root@k8s-master ~]# kubectl get pods -n kubernetes-dashboard
[root@k8s-master ~]# kubectl get pods -n kubernetes-dashboard
NAME READY STATUS RESTARTS AGE
dashboard-metrics-scraper-566cddb686-xjgks 1/1 Running 0 39s
kubernetes-dashboard-7b5bf5d559-8ssvj 1/1 Running 0 39s
13. 获取dashboard token, 也就是创建service account并绑定默认cluster-admin管理员集群角色
# kubectl create serviceaccount dashboard-admin -n kubernetes-dashboard
# kubectl create clusterrolebinding dashboard-admin --clusterrole=cluster-admin --serviceaccount=kubernetes-dashboard:dashboard-admin
# kubectl describe secrets -n kubernetes-dashboard $(kubectl -n kubernetes-dashboard get secret | awk '/dashboard-admin/{print $1}')
将复制的token 填写到 上图中的 token选项,并选择token登录
登录后界面:
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最后修改:2019-11-12 20:37:07
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