如何基于麒麟操作系统（Kylin）部署K8S集群（详细流程文档）-Toy模板网

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如何基于麒麟操作系统（Kylin）部署K8S集群（详细流程文档）

一、K8S集群节点准备

1.1 主机操作系统说明

序号	操作系统及版本	备注
1	Kylin V10 SP3

1.2 主机硬件配置说明

需求	CPU	内存	硬盘	角色	主机名
值	4C	8G	100GB	master	k8s-master01
值	4C	8G	100GB	worker(node)	k8s-worker01
值	4C	8G	100GB	worker(node)	k8s-worker02

1.3 主机配置

1.3.1 主机名配置

由于本次使用3台主机完成kubernetes集群部署，其中1台为master节点,名称为k8s-master01;其中2台为worker节点，名称分别为：k8s-worker01及k8s-worker02

master节点
# hostnamectl set-hostname k8s-master01

worker01节点
# hostnamectl set-hostname k8s-worker01

worker02节点
# hostnamectl set-hostname k8s-worker02

1.3.2 主机IP地址配置

k8s-master01节点IP地址为：192.168.10.160/24
# vim /etc/sysconfig/network-scripts/ifcfg-ens33
TYPE="Ethernet"
PROXY_METHOD="none"
BROWSER_ONLY="no"
BOOTPROTO="none"
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"
DEVICE="ens33"
ONBOOT="yes"
IPADDR="192.168.10.160"
PREFIX="24"
GATEWAY="192.168.10.2"
DNS1="119.29.29.29"

k8s-worker1节点IP地址为：192.168.10.161/24
# vim /etc/sysconfig/network-scripts/ifcfg-ens33
TYPE="Ethernet"
PROXY_METHOD="none"
BROWSER_ONLY="no"
BOOTPROTO="none"
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"
DEVICE="ens33"
ONBOOT="yes"
IPADDR="192.168.10.161"
PREFIX="24"
GATEWAY="192.168.10.2"
DNS1="119.29.29.29"

k8s-worker2节点IP地址为：192.168.10.162/24
# vim /etc/sysconfig/network-scripts/ifcfg-ens33
TYPE="Ethernet"
PROXY_METHOD="none"
BROWSER_ONLY="no"
BOOTPROTO="none"
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"
DEVICE="ens33"
ONBOOT="yes"
IPADDR="192.168.10.162"
PREFIX="24"
GATEWAY="192.168.10.2"
DNS1="119.29.29.29"

1.3.3 主机名与IP地址解析

所有集群主机均需要进行配置。

# cat /etc/hosts
127.0.0.1   localhost localhost.localdomain localhost4 localhost4.localdomain4
::1         localhost localhost.localdomain localhost6 localhost6.localdomain6
192.168.10.160 k8s-master01
192.168.10.161 k8s-worker01
192.168.10.162 k8s-worker02

1.3.4 防火墙配置

所有主机均需要操作。

关闭现有防火墙firewalld
# systemctl disable firewalld
# systemctl stop firewalld
# firewall-cmd --state
not running

1.3.5 SELINUX配置

所有主机均需要操作。修改SELinux配置需要重启操作系统。

# sed -ri 's/SELINUX=enforcing/SELINUX=disabled/' /etc/selinux/config

1.3.6 时间同步配置

所有主机均需要操作。最小化安装系统需要安装ntpdate软件。

# crontab -l
0 */1 * * * /usr/sbin/ntpdate time1.aliyun.com

1.3.7 配置内核转发及网桥过滤

所有主机均需要操作。

添加网桥过滤及内核转发配置文件
# cat /etc/sysctl.d/k8s.conf
net.bridge.bridge-nf-call-ip6tables = 1
net.bridge.bridge-nf-call-iptables = 1
vm.swappiness = 0

加载br_netfilter模块
# modprobe br_netfilter

查看是否加载
# lsmod | grep br_netfilter
br_netfilter           22256  0
bridge                151336  1 br_netfilter

1.3.8 安装ipset及ipvsadm

所有主机均需要操作。

安装ipset及ipvsadm
# yum -y install ipset ipvsadm

配置ipvsadm模块加载方式
添加需要加载的模块
# 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

授权、运行、检查是否加载
# chmod 755 /etc/sysconfig/modules/ipvs.modules && bash /etc/sysconfig/modules/ipvs.modules && lsmod | grep -e ip_vs -e nf_conntrack

1.3.9 关闭SWAP分区

修改完成后需要重启操作系统，如不重启，可临时关闭，命令为swapoff -a

临时关闭
# swapoff -a

永远关闭swap分区，需要重启操作系统
# cat /etc/fstab
......

# /dev/mapper/centos-swap swap                    swap    defaults        0 0

在上一行中行首添加#

二、 Docker准备

2.1 Docker安装包准备

二进制方式安装

# wget https://download.docker.com/linux/static/stable/x86_64/docker-20.10.9.tgz

2.2 Docker安装

# tar xf docker-20.10.9.tgz

# chmod +x docker/*

# cp docker/* /usr/bin/

2.3 启动Docker服务

# vim /usr/lib/systemd/system/docker.service
[Unit]
Description=Docker Application Container Engine
Documentation=https://docs.docker.com
After=network-online.target firewalld.service
Wants=network-online.target
 
[Service]
Type=notify
ExecStart=/usr/bin/dockerd
ExecReload=/bin/kill -s HUP $MAINPID
LimitNOFILE=infinity
LimitNPROC=infinity
TimeoutStartSec=0
Delegate=yes
KillMode=process
Restart=on-failure
StartLimitBurst=3
StartLimitInterval=60s
 
[Install]
WantedBy=multi-user.target

# systemctl enable --now docker

2.4 修改cgroup方式

/etc/docker/daemon.json 默认没有此文件，需要单独创建

在/etc/docker/daemon.json添加如下内容

# cat /etc/docker/daemon.json
{
        "exec-opts": ["native.cgroupdriver=systemd"]
}

# systemctl restart docker

2.5 添加docker用户组

# groupadd docker

2.6 cri-dockerd安装

如何基于麒麟操作系统（Kylin）部署K8S集群（详细流程文档）

三、kubernetes 1.23或1.26 集群部署

3.1 集群软件及版本说明

	kubeadm	kubelet	kubectl
版本	1.23或1.26	1.23或1.26	1.23或1.26
安装位置	集群所有主机	集群所有主机	集群所有主机
作用	初始化集群、管理集群等	用于接收api-server指令，对pod生命周期进行管理	集群应用命令行管理工具

3.2 kubernetes YUM源准备

3.2.1 谷歌YUM源

[kubernetes]
name=Kubernetes
baseurl=https://packages.cloud.google.com/yum/repos/kubernetes-el7-x86_64
enabled=1
gpgcheck=0
repo_gpgcheck=0
gpgkey=https://packages.cloud.google.com/yum/doc/yum-key.gpg
        https://packages.cloud.google.com/yum/doc/rpm-package-key.gpg

3.2.2 阿里云YUM源

[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

3.3 集群软件安装

所有节点均可安装

默认安装
# yum -y install  kubeadm  kubelet kubectl

查看指定版本
# yum list kubeadm.x86_64 --showduplicates | sort -r
# yum list kubelet.x86_64 --showduplicates | sort -r
# yum list kubectl.x86_64 --showduplicates | sort -r

安装指定版本
# yum -y install  kubeadm-1.23.6-0  kubelet-1.23.6-0 kubectl-1.23.6-0
或
# yum -y install  kubeadm-1.26.X-0  kubelet-1.26.X-0 kubectl-1.26.X-0

3.4 配置kubelet

为了实现docker使用的cgroupdriver与kubelet使用的cgroup的一致性，建议修改如下文件内容。

# vim /etc/sysconfig/kubelet
KUBELET_EXTRA_ARGS="--cgroup-driver=systemd"

设置kubelet为开机自启动即可，由于没有生成配置文件，集群初始化后自动启动
# systemctl enable kubelet

3.5 集群镜像准备

可使用VPN实现下载。

# kubeadm config images list --kubernetes-version=v1.23.6或v1.26.0

# cat image_download.sh
#!/bin/bash
images_list='
镜像列表'

for i in $images_list
do
        docker pull $i
done

docker save -o k8s-1-x-X.tar $images_list

3.6 集群初始化

K8S 1.23版本集群初始化
[root@k8s-master01 ~]# kubeadm init --kubernetes-version=v1.23.6 --pod-network-cidr=10.224.0.0/16 --apiserver-advertise-address=192.168.10.160

或

K8S 1.26版本集群初始化
[root@k8s-master01 ~]# kubeadm init --kubernetes-version=v1.26.0 --pod-network-cidr=10.224.0.0/16 --apiserver-advertise-address=192.168.10.160  --cri-socket unix:///var/run/cri-dockerd.sock

如果不添加--cri-socket选项，则会报错，内容如下：
Found multiple CRI endpoints on the host. Please define which one do you wish to use by setting the 'criSocket' field in the kubeadm configuration file: unix:///var/run/containerd/containerd.sock, unix:///var/run/cri-dockerd.sock
To see the stack trace of this error execute with --v=5 or higher

初始化过程输出
[init] Using Kubernetes version: v1.26.0
[preflight] Running pre-flight checks
[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'
[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-master01 kubernetes kubernetes.default kubernetes.default.svc kubernetes.default.svc.cluster.local] and IPs [10.96.0.1 192.168.10.200]
[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-master01 localhost] and IPs [192.168.10.200 127.0.0.1 ::1]
[certs] Generating "etcd/peer" certificate and key
[certs] etcd/peer serving cert is signed for DNS names [k8s-master01 localhost] and IPs [192.168.10.200 127.0.0.1 ::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
[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
[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"
[control-plane] Creating static Pod manifest for "kube-scheduler"
[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 13.006785 seconds
[upload-config] Storing the configuration used in ConfigMap "kubeadm-config" in the "kube-system" Namespace
[kubelet] Creating a ConfigMap "kubelet-config" 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-master01 as control-plane by adding the labels: [node-role.kubernetes.io/control-plane node.kubernetes.io/exclude-from-external-load-balancers]
[mark-control-plane] Marking the node k8s-master01 as control-plane by adding the taints [node-role.kubernetes.io/master:NoSchedule node-role.kubernetes.io/control-plane:NoSchedule]
[bootstrap-token] Using token: 8x4o2u.hslo8xzwwlrncr8s
[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

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/

Then you can join any number of worker nodes by running the following on each as root:

kubeadm join 192.168.10.200:6443 --token 8x4o2u.hslo8xzwwlrncr8s \
        --discovery-token-ca-cert-hash sha256:7323a8b0658fc33d89e627f078f6eb16ac94394f9a91b3335dd3ce73a3f313a0

3.7 集群应用客户端管理集群文件准备

[root@k8s-master01 ~]# mkdir -p $HOME/.kube
[root@k8s-master01 ~]# cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
[root@k8s-master01 ~]# chown $(id -u):$(id -g) $HOME/.kube/config
[root@k8s-master01 ~]# ls /root/.kube/
config

3.8 集群网络准备

使用calico部署集群网络

安装参考网址：https://projectcalico.docs.tigera.io/about/about-calico

如何基于麒麟操作系统（Kylin）部署K8S集群（详细流程文档）

执行operator文件
# kubectl create -f https://raw.githubusercontent.com/projectcalico/calico/v3.25.0/manifests/tigera-operator.yaml

通过自定义资源方式安装
[root@k8s-master01 ~]# wget  https://raw.githubusercontent.com/projectcalico/calico/v3.25.0/manifests/custom-resources.yaml

修改文件第13行，修改为使用kubeadm init ----pod-network-cidr对应的IP地址段
[root@k8s-master01 ~]# vim custom-resources.yaml
......
 11     ipPools:
 12     - blockSize: 26
 13       cidr: 10.224.0.0/16 
 14       encapsulation: VXLANCrossSubnet
......

  当node无法正常运行时，可考虑在此文件中添加相关内容。    
      nodeAddressAutodetectionV4:
        interface: ens.*

应用资源清单文件
[root@k8s-master01 ~]# kubectl apply -f custom-resources.yaml

监视calico-sysem命名空间中pod运行情况
[root@k8s-master01 ~]# watch kubectl get pods -n calico-system

Wait until each pod has the STATUS of Running.

3.9 集群工作节点添加

因容器镜像下载较慢，可能会导致报错，主要错误为没有准备好cni（集群网络插件），如有网络，请耐心等待即可。

K8S 1.23版本集群加入方法
[root@k8s-worker0X ~]# kubeadm join 192.168.10.160:6443 --token 8x4o2u.hslo8xzwwlrncr8s \                              --discovery-token-ca-cert-hash sha256:7323a8b0658fc33d89e627f078f6eb16ac94394f9a91b3335dd3ce73a3f313a0

K8S 1.26版本集群加入方法
[root@k8s-worker0X ~]# kubeadm join 192.168.10.160:6443 --token 8x4o2u.hslo8xzwwlrncr8s \                              --discovery-token-ca-cert-hash sha256:7323a8b0658fc33d89e627f078f6eb16ac94394f9a91b3335dd3ce73a3f313a0 --cri-socket unix:///var/run/cri-dockerd.sock

stem


>Wait until each pod has the `STATUS` of `Running`.



~~~powershell

3.9 集群工作节点添加

因容器镜像下载较慢，可能会导致报错，主要错误为没有准备好cni（集群网络插件），如有网络，请耐心等待即可。文章来源地址https://www.toymoban.com/news/detail-499429.html

K8S 1.23版本集群加入方法
[root@k8s-worker0X ~]# kubeadm join 192.168.10.160:6443 --token 8x4o2u.hslo8xzwwlrncr8s \                              --discovery-token-ca-cert-hash sha256:7323a8b0658fc33d89e627f078f6eb16ac94394f9a91b3335dd3ce73a3f313a0

K8S 1.26版本集群加入方法
[root@k8s-worker0X ~]# kubeadm join 192.168.10.160:6443 --token 8x4o2u.hslo8xzwwlrncr8s \                              --discovery-token-ca-cert-hash sha256:7323a8b0658fc33d89e627f078f6eb16ac94394f9a91b3335dd3ce73a3f313a0 --cri-socket unix:///var/run/cri-dockerd.sock

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