Centos 7搭建k8s集群
Centos 7系统搭建
详细步骤请参考https://blog.csdn.net/WHQ556677/article/details/122283578
注:centos安装后默认不开启网络连接,需要按照以下步骤进行开启。
1、VMware网络模式选择NAT模式
2、进入centos7下 /etc/sysconfig/network-scripts/目录下,编辑ifcfg-ensxxx(默认是ifcfg-ens33)修改为一下配置文件
TYPE=Ethernet
PROXY_METHOD=none
BROWSER_ONLY=no
BOOTPROTO=static
DEFROUTE=yes
IPV4_FAILURE_FATAL=no
IPV6INIT=yes
IPV6_AUTOCONF=yes
IPV6_DEFROUTE=yes
IPV6_FAILURE_FATAL=no
IPV6_ADDR_GEN_MODE=stable-privacy
NAME=ens33
UUID=f5f97017-3e91-4d58-b30d-7ce3c711b636
DEVICE=ens33
ONBOOT=yes
GATEWAY=网关地址
IPADDR=ip地址
DNS1=114.114.114.114
3、修改配置文件后重启网络服务(systemctl restart network)
虚拟机重启后ip变化请参考:https://blog.csdn.net/qq_52103423/article/details/125292433
centos7安装docker
1、移除以前的docker安装包
sudo yum remove docker docker-client docker-client-latest docker-common docker-latest docker-latest-logrotate docker-logrotate docker-engine
2、配置yum源
sudo yum install -y yum-utils
sudo yum-config-manager --add-repo http://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo
3、安装docker
yum install -y docker-ce-20.10.7 docker-ce-cli-20.10.7 containerd.io-1.4.6
4、启动
systemctl enable docker --now
5、配置加速
sudo mkdir -p /etc/docker
sudo 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
sudo systemctl daemon-reload
sudo systemctl restart docker
其他系统版本请参考:https://docs.docker.com/engine/install/centos/
centos7安装k8s
0、注意
-
一台兼容的 Linux 主机。Kubernetes 项目为基于 Debian 和 Red Hat 的 Linux 发行版以及一些不提供包管理器的发行版提供通用的指令
-
每台机器 2 GB 或更多的 RAM (如果少于这个数字将会影响你应用的运行内存)
-
2 CPU 核或更多(低于2核不允许安装)
-
集群中的所有机器的网络彼此均能相互连接(公网和内网都可以)
-
- 设置防火墙放行规则
-
节点之中不可以有重复的主机名、MAC 地址或 product_uuid。请参见这里了解更多详细信息。
-
- 设置不同hostname
-
开启机器上的某些端口。请参见这里 了解更多详细信息。
-
- 内网互信
-
禁用交换分区。为了保证 kubelet 正常工作,你 必须 禁用交换分区。
-
- 永久关闭
1、基础环境
所有机器都执行一下操作
#各个机器设置自己的域名
hostnamectl set-hostname master
hostnamectl set-hostname node
# 将 SELinux 设置为 permissive 模式(相当于将其禁用)
sudo setenforce 0
sudo sed -i 's/^SELINUX=enforcing$/SELINUX=permissive/' /etc/selinux/config
#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
sudo sysctl --system
2、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
sudo yum install -y kubelet-1.20.9 kubeadm-1.20.9 kubectl-1.20.9 --disableexcludes=kubernetes
sudo systemctl enable --now kubelet
搭建k8s集群
1、下载各个集群需要的镜像
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
2、初始化master节点
1、所有机器添加master域名映射,以下(masterIp)需要修改为自己的master的ip。
echo "masterIp cluster-endpoint" >> /etc/hosts
2、主节点初始化,只需要主节点(master)运行即可。以下(masterIp)需要修改为自己的master的ip。
这里注意pod的网段不要和主机重复
#主节点初始化
kubeadm init --apiserver-advertise-address=192.168.75.129 --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=10.244.0.0/16
#所有网络范围不重叠
成功之后会输出以下内容
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 l7ove2.ighlmt9j61llegba \
--discovery-token-ca-cert-hash sha256:bbcdbc496f3f45cb34041f0ffab632315529af3b71ed336596cad3f628465943 \
--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 l7ove2.ighlmt9j61llegba \
--discovery-token-ca-cert-hash sha256:bbcdbc496f3f45cb34041f0ffab632315529af3b71ed336596cad3f628465943
之后运行以下命令
mkdir -p $HOME/.kube
sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
sudo chown $(id -u):$(id -g) $HOME/.kube/config
如果你是root用户则执行(参考上面初始化master节点后的输出数据)
export KUBECONFIG=/etc/kubernetes/admin.conf
注:如果虚拟修改ip后就安装k8s 导致coredns这个pod起不来,可以尝试使用以下命令解决
systemctl stop kubelet
systemctl stop docker
iptables --flush
iptables -tnat --flush
systemctl start kubelet
systemctl start docker
3、部署网络插件(calico)
calico的版本需要和k8s的安装版本匹配
master节点运行以下命令
curl https://docs.projectcalico.org/archive/v3.20/manifests/calico.yaml -O
kubectl apply -f calico.yaml
注:启动要查看dashBoard的时候发现不能访问了,如果master和pod ping不通 curl也不通,尝试重新部署了以下网络插件就通了
4、node节点加入集群
node节点运行以下命令
kubeadm join cluster-endpoint:6443 --token fg4w21.tm52v33d4yhlwas4 --discovery-token-ca-cert-hash sha256:e43b6abba3addde38c4e7b17a6c2e367623285deed5178c9bf233e807711a8a7
如果token过期。可以在master节点用以下命令重新生成。
kubeadm token create --print-join-command
如果加入报错
[ERROR FileContent--proc-sys-net-ipv4-ip_forward]: /proc/sys/net/ipv4/ip_forward contents are not set to 1
[preflight] If you know what you are doing, you can make a check non-fatal with `--ignore-preflight-errors=...`
To see the stack trace of this error execute with --v=5 or higher
则运行以下命令成功解决
sysctl -w net.ipv4.ip_forward=1
到此,集群搭建成功,运行kubectl get nodes查看结果
[root@master ~]# kubectl get nodes
NAME STATUS ROLES AGE VERSION
master Ready control-plane,master 48m v1.20.9
node1 Ready <none> 72s v1.20.9
5、部署dashboard
(1)搭建环境
master节点运行
kubectl apply -f https://raw.githubusercontent.com/kubernetes/dashboard/v2.3.1/aio/deploy/recommended.yaml
注:如果kubernetes-dashboard发生错误,日志为
Error from server: Get https://xx:10250/containerLogs dial tcp 10250: connect: no route to host
是node节点的端口号被防火墙挡住了,关闭防火墙或者放行该端口号(10250,443)!
centos7防火墙为firewall常用命令如下:
firewall-cmd --zone=public --add-port=xxx/tcp --permanent #开放端口
firewall-cmd --reload #重启防火墙
systemctl stop firewalld.service #停止firewall
firewall-cmd --list-port #查看所有的开放端口号
firewall-cmd --query-port=xxx/tcp #查看某个端口号是否开放
(2) 设置访问端口
kubectl edit svc kubernetes-dashboard -n kubernetes-dashboard
打开以后将type: ClusterIP 改为 type: NodePort
运行
kubectl get svc -A |grep kubernetes-dashboard
找到 kubernetes-dashboard分配的端口号
[root@master ~]# kubectl get svc -A |grep kubernetes-dashboard
kubernetes-dashboard dashboard-metrics-scraper ClusterIP 10.96.145.255 <none> 8000/TCP 37m
kubernetes-dashboard kubernetes-dashboard NodePort 10.96.83.127 <none> 443:32435/TCP 37m
这里映射的端口号就是32435,利用这个端口号访问
访问地址为 https://集群nodeip(任意): kubernetes-dashboard分配的端口号
(3) 创建访问账号
创建一个dash_user.yaml文件,内容为:
#创建访问账号,准备一个yaml文件; vim dash.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
然后应用这个yaml文件
kubectl apply -f dash_user.yaml
(4) 令牌访问
#获取访问令牌
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}}"
得到的令牌填入到web的token里面登录文章来源:https://www.toymoban.com/news/detail-774685.html
到此,搭建成功!文章来源地址https://www.toymoban.com/news/detail-774685.html
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