K8S简单集群搭建
前提条件
- windos11电脑,内存16g以上
- 安装vmware虚拟机软件
- 安装三个centos7虚拟机,分配硬盘40g,内存4g,CPU4核心
- 网络均采用NAT模式(新建虚拟机默认的模式)
centos7镜像下载:https://mirrors.tuna.tsinghua.edu.cn/centos/7/isos/x86_64/CentOS-7-x86_64-Everything-2207-02.iso
我电脑上三个centos7虚拟机均采用最小化安装,IP如下:
名称 | IP地址 |
---|---|
k8s-master1 | 192.169.94.132 |
k8s-node1 | 192.168.94.133 |
k8s-node2 | 192.168.94.134 |
其中硬盘分配:
- /boot 1024M
- swap 2048M
- / 37G
系统准备
如下命令,没有特殊说明,则在三个节点上都要执行一次
关闭防火墙
bash
systemctl stop firewalld
systemctl disable firewalld
关闭selinux
bash
sed -i 's/enforcing/disabled/' /etc/selinux/config # 永久
setenforce 0 # 临时
关闭swap
bash
swapoff -a # 临时
sed -ri 's/.*swap.*/#&/' /etc/fstab # 永久
设置主机名
-
在master虚拟机上执行
bashhostnamectl set-hostname k8s-master1
-
在node1虚拟机上执行
bashhostnamectl set-hostname k8s-node1
-
在node2虚拟机上执行
bashhostnamectl set-hostname k8s-node2
添加hosts
在master虚拟机上执行
bash
cat >> /etc/hosts << EOF
192.168.94.132 k8s-master1
192.168.94.133 k8s-node1
192.168.94.134 k8s-node2
EOF
将桥接的IPv4流量传递到iptables的链
bash
cat > /etc/sysctl.d/k8s.conf << EOF
net.bridge.bridge-nf-call-ip6tables = 1
net.bridge.bridge-nf-call-iptables = 1
EOF
生效:
bash
sysctl --system
时间同步
bash
yum install ntpdate -y
ntpdate time.windows.com
可能的问题
-
无法使用
ifconfig
命令需要安装net-tools:
bashyum install net-tools
k8s安装
k8s的默认容器运行时(CRI)为docker,因此要先安装docker
docker安装
bash
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
验证docker是否安装好:
bash
docker --version
如果下方出现了docker的版本,则说明安装没问题。
设置docker的镜像拉取地址:
bash
cat > /etc/docker/daemon.json << EOF
{
"registry-mirrors": ["https://b9pmyelo.mirror.aliyuncs.com"]
}
EOF
kubeadm/kubelet/kubectl的安装
设置k8s的软件源
bash
$ 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
EOF
安装
注意:最好是指定版本,因为坑已踩过
$ yum install -y kubelet-1.18.0 kubeadm-1.18.0 kubectl-1.18.0
$ systemctl enable kubelet
初始化Master
在master1上执行集群的master节点初始化:(指定阿里云镜像仓库)
bash
kubeadm init \
--apiserver-advertise-address=192.168.94.132 \
--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
执行这句话之后,控制台输出如下:
bash
[root@localhost ~]# kubeadm init \
> --apiserver-advertise-address=192.168.94.132 \
> --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
W1004 11:44:59.317714 70492 configset.go:202] WARNING: kubeadm cannot validate component configs for API groups [kubelet.config.k8s.io kubeproxy.config.k8s.io]
[init] Using Kubernetes version: v1.18.0
[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] Pulling images required for setting up a Kubernetes cluster
[preflight] This might take a minute or two, depending on the speed of your internet connection
[preflight] You can also perform this action in beforehand using 'kubeadm config images pull'
[kubelet-start] Writing kubelet environment file with flags to file "/var/lib/kubelet/kubeadm-flags.env"
[kubelet-start] Writing kubelet configuration to file "/var/lib/kubelet/config.yaml"
[kubelet-start] Starting the kubelet
[certs] Using certificateDir folder "/etc/kubernetes/pki"
[certs] Generating "ca" certificate and key
[certs] Generating "apiserver" certificate and key
[certs] apiserver serving cert is signed for DNS names [k8s-master1 kubernetes kubernetes.default kubernetes.default.svc kubernetes.default.svc.cluster.local] and IPs [10.96.0.1 192.168.94.132]
[certs] Generating "apiserver-kubelet-client" certificate and key
[certs] Generating "front-proxy-ca" certificate and key
[certs] Generating "front-proxy-client" certificate and key
[certs] Generating "etcd/ca" certificate and key
[certs] Generating "etcd/server" certificate and key
[certs] etcd/server serving cert is signed for DNS names [k8s-master1 localhost] and IPs [192.168.94.132 127.0.0.1 ::1]
[certs] Generating "etcd/peer" certificate and key
[certs] etcd/peer serving cert is signed for DNS names [k8s-master1 localhost] and IPs [192.168.94.132 127.0.0.1 ::1]
[certs] Generating "etcd/healthcheck-client" certificate and key
[certs] Generating "apiserver-etcd-client" certificate and key
[certs] Generating "sa" key and public key
[kubeconfig] Using kubeconfig folder "/etc/kubernetes"
[kubeconfig] Writing "admin.conf" kubeconfig file
[kubeconfig] Writing "kubelet.conf" kubeconfig file
[kubeconfig] Writing "controller-manager.conf" kubeconfig file
[kubeconfig] Writing "scheduler.conf" kubeconfig file
[control-plane] Using manifest folder "/etc/kubernetes/manifests"
[control-plane] Creating static Pod manifest for "kube-apiserver"
[control-plane] Creating static Pod manifest for "kube-controller-manager"
W1004 11:45:44.142408 70492 manifests.go:225] the default kube-apiserver authorization-mode is "Node,RBAC"; using "Node,RBAC"
[control-plane] Creating static Pod manifest for "kube-scheduler"
W1004 11:45:44.143008 70492 manifests.go:225] the default kube-apiserver authorization-mode is "Node,RBAC"; using "Node,RBAC"
[etcd] Creating static Pod manifest for local etcd in "/etc/kubernetes/manifests"
[wait-control-plane] Waiting for the kubelet to boot up the control plane as static Pods from directory "/etc/kubernetes/manifests". This can take up to 4m0s
[apiclient] All control plane components are healthy after 14.503883 seconds
[upload-config] Storing the configuration used in ConfigMap "kubeadm-config" in the "kube-system" Namespace
[kubelet] Creating a ConfigMap "kubelet-config-1.18" in namespace kube-system with the configuration for the kubelets in the cluster
[upload-certs] Skipping phase. Please see --upload-certs
[mark-control-plane] Marking the node k8s-master1 as control-plane by adding the label "node-role.kubernetes.io/master=''"
[mark-control-plane] Marking the node k8s-master1 as control-plane by adding the taints [node-role.kubernetes.io/master:NoSchedule]
[bootstrap-token] Using token: t6p6ko.ok8x7h1era4pq66e
[bootstrap-token] Configuring bootstrap tokens, cluster-info ConfigMap, RBAC Roles
[bootstrap-token] configured RBAC rules to allow Node Bootstrap tokens to get nodes
[bootstrap-token] configured RBAC rules to allow Node Bootstrap tokens to post CSRs in order for nodes to get long term certificate credentials
[bootstrap-token] configured RBAC rules to allow the csrapprover controller automatically approve CSRs from a Node Bootstrap Token
[bootstrap-token] configured RBAC rules to allow certificate rotation for all node client certificates in the cluster
[bootstrap-token] Creating the "cluster-info" ConfigMap in the "kube-public" namespace
[kubelet-finalize] Updating "/etc/kubernetes/kubelet.conf" to point to a rotatable kubelet client certificate and key
[addons] Applied essential addon: CoreDNS
[addons] Applied essential addon: kube-proxy
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 192.168.94.132:6443 --token t6p6ko.ok8x7h1era4pq66e \
--discovery-token-ca-cert-hash sha256:c1b3fd084dac33494a27532c368c844181e6942c5c0d2007c2e683ac3ffea83a
注意最后这一句,这是初始化master几点生成的node加入时使用的token,默认为24小时,后面会用到
bash
kubeadm join 192.168.94.132:6443 --token t6p6ko.ok8x7h1era4pq66e \
--discovery-token-ca-cert-hash sha256:c1b3fd084dac33494a27532c368c844181e6942c5c0d2007c2e683ac3ffea83a
当token过期后,想其他的node节点加入,可通过如下命令重新创建token:
bash
kubeadm token create --print-join-command
部署CNI网络插件
在master节点上执行(下载yml文件):
bash
wget https://raw.githubusercontent.com/coreos/flannel/master/Documentation/kube-flannel.yml
在master节点上应用文件:
bash
kubectl get pods -n kube-system
可能出现问题:拉取yml文件失败:
bash
wget https://raw.githubusercontent.com/coreos/flannel/master/Documentation/kube-flannel.yml
--2023-10-04 11:50:46-- https://raw.githubusercontent.com/coreos/flannel/master/Documentation/kube-flannel.yml
正在解析主机 raw.githubusercontent.com (raw.githubusercontent.com)... ::1, 127.0.0.1
正在连接 raw.githubusercontent.com (raw.githubusercontent.com)|::1|:443... 失败:拒绝连接。
正在连接 raw.githubusercontent.com (raw.githubusercontent.com)|127.0.0.1|:443... 失败:拒绝连接。
解决办法:参考wget安装flannel插件-连接失败_Geray-zsg的博客-CSDN博客
在/etc/hosts
文件中添加如下解析:
199.232.68.133 raw.githubusercontent.com
再执行就可以正常下载了
k8s安装后测试
在k8s集群中创建一个pod:
bash
kubectl create deployment nginx --image=nginx
暴露端口:
bash
kubectl expose deployment nginx --port=80 --type=NodePort
查看暴露的服务:
bash
[root@localhost etc]# kubectl get pod,svc
NAME READY STATUS RESTARTS AGE
pod/nginx-f89759699-hnhl9 1/1 Running 0 59m
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
service/kubernetes ClusterIP 10.96.0.1 <none> 443/TCP 67m
service/nginx NodePort 10.96.178.17 <none> 80:32377/TCP 46m
验证访问:
如果都能访问,代表k8s集群部署正常