kubeadmin部署k8s1.27.4-Toy模板网

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kubeadmin部署k8s1.27.4

环境介绍

IP	主机名	资源配置	系统版本
192.168.117.170	k8s-master	2c2g200g	Centos7.9
192.168.117.171	k8s-node1	2c2g200g	Centos7.9
192.168.117.172	k8s-node2	2c2g200g	Centos7.9

编辑本地解析且修改主机名

三台主机都要做

vim /etc/hosts

kubeadmin部署k8s1.27.4,kubernetes,容器,云原生

配置主机名

master

[root@k8s-master ~]# hostnamectl set-hostname k8s-master

node1

[root@k8s-node1 ~]# hostnamectl set-hostname k8s-node1

node2

[root@k8s-node2 ~]# hostnamectl set-hostname k8s-node2

master节点产成ssh密钥拷贝给node节点实现免密登录

[root@k8s-master ~]# ssh-keygen

[root@k8s-master ~]# ssh-copy-id k8s-node1
[root@k8s-master ~]# ssh-copy-id k8s-node2

开启路由转发功能

所有节点

##添加配置文件
[root@k8s-master ~]# cat > /etc/sysctl.d/k8s.conf <<EOF
net.bridge.bridge-nf-call-ip6tables = 1
net.bridge.bridge-nf-call-iptables = 1
net.ipv4.ip_forward = 1
vm.swappiness = 0
EOF

##加载br_netfilter模块 && 查看是否加载
[root@k8s-master ~]# modprobe br_netfilter && lsmod | grep br_netfilter
br_netfilter           22256  0 
bridge                151336  1 br_netfilter

##加载⽹桥过滤及内核转发配置⽂件
[root@k8s-master ~]# sysctl -p /etc/sysctl.d/k8s.conf
net.bridge.bridge-nf-call-ip6tables = 1
net.bridge.bridge-nf-call-iptables = 1
net.ipv4.ip_forward = 1
vm.swappiness = 0

配置阿里云yum源

所有节点

[root@k8s-master ~] cd /etc/yum.repos.d/
[root@k8s-master yum.repos.d]# mv CentOS-Base.repo CentOS-Base.repo.bak
[root@k8s-master yum.repos.d]# curl -o /etc/yum.repos.d/CentOS-Base.repo http://mirrors.aliyun.com/repo/Centos-7.repo
[root@k8s-master yum.repos.d]# yum clean all && yum makecache

配置ipvs功能

所有节点

[root@k8s-master ~]# yum -y install ipset ipvsadm

##编辑需要添加的模块儿
[root@k8s-master ~]# cat > /etc/sysconfig/modules/ipvs.modules <<EOF
#!/bin/bash
modprobe -- ip_vs
modprobe -- ip_vs_rr
modprobe -- ip_vs_wrr
modprobe -- ip_vs_sh
modprobe -- nf_conntrack
EOF

##给予执行权限
[root@k8s-master ~]# chmod 755 /etc/sysconfig/modules/ipvs.modules

##运行模块儿脚本
[root@k8s-master ~]# bash /etc/sysconfig/modules/ipvs.modules

##检验是否成功
[root@k8s-master ~]# lsmod | grep -e ip_vs -e nf_conntrack
ip_vs_sh               12688  0 
ip_vs_wrr              12697  0 
ip_vs_rr               12600  0 
ip_vs                 145458  6 ip_vs_rr,ip_vs_sh,ip_vs_wrr
nf_conntrack_netlink    36396  0 
nfnetlink              14519  2 nf_conntrack_netlink
nf_conntrack_ipv4      15053  2 
nf_defrag_ipv4         12729  1 nf_conntrack_ipv4
nf_conntrack          139264  7 ip_vs,nf_nat,nf_nat_ipv4,xt_conntrack,nf_nat_masquerade_ipv4,nf_conntrack_netlink,nf_conntrack_ipv4
libcrc32c              12644  4 xfs,ip_vs,nf_nat,nf_conntrack

关闭防火墙、内核以及swap分区

[root@k8s-master ~]# systemctl stop firewalld
[root@k8s-master ~]# setenforce 0
setenforce: SELinux is disabled
[root@k8s-master ~]# swapoff -a （临时关闭）

##永久关闭需要在/etc/fstab文件中注释掉
#/dev/mapper/centos-swap swap                    swap    defaults        0 0

安装Docker

所有节点

[root@k8s-master ~]# curl https://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo -o /etc/yum.repos.d/docker.repo
[root@k8s-master ~]# yum -y install docker-ce

配置docker加速器及Cgroup驱动程序

[root@k8s-master ~]# cat > /etc/docker/daemon.json <<EOF
{
        "registry-mirrors": ["https://docker.mirrors.ustc.edu.cn",
                        "https://docker.m.daocloud.io",
                        "http://hub-mirrors.c.163.com"],
        "max-concurrent-downloads": 10,
        "log-driver": "json-file",
        "log-level": "warn",
        "data-root": "/var/lib/docker",
				"exec-opts": ["native.cgroupdriver=systemd"]

}
EOF

启动docker并设置开机自启

[root@k8s-master ~]# systemctl daemon-reload
[root@k8s-master ~]# systemctl enable --now docker

安装cri-docker

所有节点

作为接替 Docker 运行时的 Containerd 在早在 Kubernetes1.7 时就能直接与 Kubelet 集成使用，只是大部分时候我们因熟悉 Docker，在部署集群时采用了默认的 dockershim。在V1.24起的版本的 kubelet 就彻底移除了dockershim，改为默认使用Containerd了，当然也使用 cri-dockerd适配器来将Docker Engine与 Kubernetes 集成。可以参考官方文档：
https://kubernetes.io/zh-cn/docs/setup/production-environment/container-runtimes/#docker

CRI-Dockerd cri-dockerd是什么:
https://blog.51cto.com/u_16099281/6469310

##下载压缩包
[root@k8s-master ~]# wget https://github.com/Mirantis/cri-dockerd/releases/download/v0.3.4/cri-dockerd-0.3.4.amd64.tgz
##解压
[root@k8s-master ~]# tar zxvf cri-dockerd-0.3.4.amd64.tgz
##拷贝二进制命令文件
[root@k8s-master ~]# cp cri-dockerd/*  /usr/bin/
##发送给node1节点
[root@k8s-master ~]# scp cri-dockerd/* root@k8s-node1:/usr/bin/
##发送给node2节点
[root@k8s-master ~]# scp cri-dockerd/* root@k8s-node2:/usr/bin/

##配置systemctl管理
[root@k8s-master ~]# vim /usr/lib/systemd/system/cri-docker.service
[Unit]
Description=CRI Interface for Docker Application Container Engine
Documentation=https://docs.mirantis.com
After=network-online.target firewalld.service docker.service
Wants=network-online.target
Requires=cri-docker.socket

[Service]
Type=notify
ExecStart=/usr/bin/cri-dockerd --network-plugin=cni --pod-infra-container-image=registry.aliyuncs.com/google_containers/pause:3.7
ExecReload=/bin/kill -s HUP $MAINPID
TimeoutSec=0
RestartSec=2
Restart=always
StartLimitBurst=3
StartLimitInterval=60s
LimitNOFILE=infinity
LimitNPROC=infinity
LimitCORE=infinity
TasksMax=infinity
Delegate=yes
KillMode=process

[Install]
WantedBy=multi-user.target

[root@k8s-master ~]# vim /usr/lib/systemd/system/cri-docker.socket
[Unit]
Description=CRI Docker Socket for the API
PartOf=cri-docker.service

[Socket]
ListenStream=%t/cri-dockerd.sock
SocketMode=0660
SocketUser=root
SocketGroup=docker

[Install]
WantedBy=sockets.target

[root@k8s-master ~]# systemctl daemon-reload
[root@k8s-master ~]# systemctl enable --now cri-docker
Created symlink from /etc/systemd/system/multi-user.target.wants/cri-docker.service to /usr/lib/systemd/system/cri-docker.service.
[root@k8s-master ~]# systemctl status cri-docker

安装kubelet、kubeadm、kubectl（有个小坑，之前更换阿里源里面没有这些包，需要再添加一个）

##添加源
[root@k8s-master ~]# cd /etc/yum.repos.d/
[root@k8s-master yum.repos.d]# vim kubernetes.repo 
[kubernetes]
name=Kubernetes
baseurl=http://mirrors.aliyun.com/kubernetes/yum/repos/kubernetes-el7-x86_64
enabled=1
gpgcheck=1
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
##下载
[root@k8s-master ~]# yum -y install kubelet-1.27.4-0 kubeadm-1.27.4-0 kubectl-1.27.4-0 --disableexcludes=kubernetes
##设置kubelet开机自启
[root@k8s-master ~]# systemctl enable --now kubelet
Created symlink from /etc/systemd/system/multi-user.target.wants/kubelet.service to /usr/lib/systemd/system/kubelet.service.
##初始化之前kubelet无法启动，可以查看它的状态，下面这种情况代表正在等待指令
[root@k8s-master ~]# systemctl is-active kubelet
activating

kubeadm初始化

##参数解释
--image-repository registry.aliyuncs.com/google_containers：使用阿里云镜像仓库
--kubernetes-version=v1.27.3：指定k8s的版本
--pod-network-cidr=10.10.20.0/24：指定pod的网段
--cri-socket unix:///var/run/cri-dockerd.sock：指定容器运行时的Socket文件路径，原本默认是dockershim.sock，但现在改成cri-docker.sock

maste节点

[root@k8s-master ~]# kubeadm init \
--image-repository registry.aliyuncs.com/google_containers \
--kubernetes-version v1.27.4 \
--pod-network-cidr=10.10.20.0/24 \
--cri-socket unix:///var/run/cri-dockerd.sock

kubeadmin部署k8s1.27.4,kubernetes,容器,云原生

## 初始化成功后根据回显创建文件，并记录下节点加入集群的命令
kubeadm join 192.168.117.171:6443 --token jvb30p.4a9rnaqyls3ag0y5 \
        --discovery-token-ca-cert-hash sha256:1a7cb15fbb63034879b8d1139de2d5e72f9a7c14027fe8daa16512825a48c920

master创建文件

[root@k8s-master ~]# mkdir -p $HOME/.kube
[root@k8s-master ~]# sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
[root@k8s-master ~]# sudo chown $(id -u):$(id -g) $HOME/.kube/config

若是出了问题可以使用 kubeadm reset 清除所有配置和数据重新初始化

加入集群

所有node节点执行

kubeadm join 192.168.117.171:6443 --token jvb30p.4a9rnaqyls3ag0y5 --discovery-token-ca-cert-hash sha256:1a7cb15fbb63034879b8d1139de2d5e72f9a7c14027fe8daa16512825a48c920 --cri-socket unix:///var/run/cri-dockerd.sock

注意加入 --cri-socket unix:///var/run/cri-dockerd.sock  参数

mastet节点查看

[root@k8s-master ~]# kubectl get node
NAME         STATUS     ROLES           AGE    VERSION
k8s-master   NotReady   control-plane   144m   v1.27.4
k8s-node1    NotReady   <none>          50s    v1.27.4
k8s-node2    NotReady   <none>          4s     v1.27.4

配置网络插件

两个网络插件二选一即可

1、master下载kube-flannel.yml文件

curl -O https://raw.githubusercontent.com/coreos/flannel/master/Documentation/kube-flannel.yml

修改网段改初始化时配置的网段

kubeadmin部署k8s1.27.4,kubernetes,容器,云原生

提前拉取所需镜像

kubeadmin部署k8s1.27.4,kubernetes,容器,云原生

##所有节点都要拉取
docker pull docker.io/flannel/flannel-cni-plugin:v1.2.0
docker pull image: docker.io/flannel/flannel:v0.22.3

写入三行内容

      - key: node.kubernetes.io/not-ready
        operator: Exists
        effect: NoSchedule

kubeadmin部署k8s1.27.4,kubernetes,容器,云原生

[root@k8s-master ~]# kubectl apply -f kube-flannel.yml

2、配置网络组件calico

calico官网：https://docs.tigera.io/calico/latest/getting-started/kubernetes/quickstart#install-calico

kubeadmin部署k8s1.27.4,kubernetes,容器,云原生

下载这两个文件并上传到master

[root@k8s-master ~]# kubectl create -f tigera-operator.yaml

[root@k8s-master ~]# vim custom-resources.yaml
## 这个要和master初始化网段保持一致

kubeadmin部署k8s1.27.4,kubernetes,容器,云原生

[root@k8s-master ~]# kubectl apply -f custom-resources.yaml

[root@k8s-master ~]# kubectl get pod -n calico-system

kubeadmin部署k8s1.27.4,kubernetes,容器,云原生文章来源地址https://www.toymoban.com/news/detail-716526.html

验证集群可用性

[root@k8s-master ~]# kubectl get node
NAME         STATUS   ROLES           AGE   VERSION
k8s-master   Ready    control-plane   92m   v1.27.4
k8s-node1    Ready    <none>          90m   v1.27.4
k8s-node2    Ready    <none>          89m   v1.27.4

查看集群健康情况,理想状态

[root@k8s-master ~]# kubectl  get cs 
Warning: v1 ComponentStatus is deprecated in v1.19+
NAME                 STATUS    MESSAGE   ERROR
controller-manager   Healthy   ok        
scheduler            Healthy   ok        
etcd-0               Healthy

查看kubernetes集群pod运⾏情况

[root@k8s-master ~]# kubectl get pod -n kube-system
NAME                                 READY   STATUS    RESTARTS         AGE
coredns-7bdc4cb885-bx4cq             1/1     Running   0			    93m
coredns-7bdc4cb885-th6ft             1/1     Running   0   				93m
etcd-k8s-master                      1/1     Running   0                93m
kube-apiserver-k8s-master            1/1     Running   0                93m
kube-controller-manager-k8s-master   1/1     Running   0                93m
kube-proxy-btqbd                     1/1     Running   0                91m
kube-proxy-j4qxl                     1/1     Running   0                90m
kube-proxy-qhx4j                     1/1     Running   0                93m
kube-scheduler-k8s-master            1/1     Running   0                93m

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