使用kubeadm快速部署一个k8s集群

前言

此文所使用服务的环境为：

docker 版本： v25.0.3

kubernetes版本：v1.25.0

1 安装准备

部署k8s集群的节点按照用途可以分为如下2类角色

master：集群的master节点，集群的初始化节点
slave：集群的slave节点，可以是多台主机

各个节点部署的相关服务

k8s-master： etcd、kube-apiserver、kube-controller-manager、kubectl、kubeadm、kubelet、flannel、docker
k8s-node-01: kubectl、kubelet、kube-proxy、flannel、docker
K8s-node-02: kubectl、kubelet、kube-proxy、flannel、docker

再开始部署kubernetes集群前，机器需要满足以下几个条件

测试环境硬件配置：2GB或者更多RAM，2个cpu或者更多，硬盘30GB或者更多
集群中所有机器之间网络互通
可以访问外网，需要拉取镜像
禁止使用swap分区
如果节点之间有安全组限制，至少要开通一下端口（）

设置安全组放开端口

如果节点间无安全组限制（内网机器间可以任意访问），可以忽略，否则，至少保证如下端口可通
k8s-master 节点： TCP 6443、2379、2380、60080、60081 UDP协议端口全部打开
k8s-node 节点： UDP协议端口全部打开

注：这里的教程是基于非高可用版本的集群，高可用是指有多个k8s-master主节点。

2 环境准备

2.1虚拟机IP列表准备

角色	IP
k8s-master	10.10.10.100
k8s-node-01	10.10.10.177
k8s-node-02	10.10.10.112

2.2 关闭swap

powershell 复制代码

swapoff -a #临时关闭swap
sed -i '/ swap / s/^\(.*)$/#\1/g' /etc/fstab  # 永久关闭swap，防止开机自动挂载swap

2.3 设置主机名

powershell 复制代码

# master主机设置为master  node主机设置为node
hostnamectl set-hostname <hostname>

2.4 服务器hosts解析设置

powershell 复制代码

cat >> /etc/hosts << 'EOF'
10.10.10.100  k8s-master
10.10.10.177  k8s-node-01
10.10.10.112  k8s-node-02
EOF

2.5 关闭防火墙

powershell 复制代码

systemctl stop firewalld
systemctl disable firewalld

# 清空防火墙规则
iptables -F
# 删除自定义链
iptables -X 
# 清空防火墙数据表统计信息
iptables -Z
# 将转发（forward）数据包的默认策略设置为接受（accept）
iptables -P FORWARD  ACCEPT

2.6 关闭selinux

powershell 复制代码

# 永久关闭
sed -i 's#SELINUX=enforcing#SELINUX=disable#'  /etc/selinux/config  
# 临时关闭
setenforce 0

2.7 设置阿里云源

powershell 复制代码

curl -o /etc/yum.repos.d/Centos-Base.repo https://mirrors.aliyun.com/repo/Centos-7.repo

curl -o /etc/yum.repos.d/epel.repo http://mirrors.aliyun.com/repo/epel-7.repo

sed -i '/aliyuncs/d' /etc/yum.repos.d/*.repo

yum clean all && yum makecache fast

2.8 确保ntp 网络正常

powershell 复制代码

yum install chrony -y
 
systemctl start chronyd
systemctl enable chronyd

date
# 如果时间不正确，修改配置文件/etc/chrony.conf，加入ntp.aliyun.com上游地址即可
ntpdate -u ntp.aliyun.com
# 将时间同步到硬件
hwclock -w

2.9 修改linux内核参数，开启数据包转发功能

powershell 复制代码

# 容器跨主机通信，底层走的是iptables，内核级别的数据包转发
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.max_map_count=262144
EOF

# 加载 br_netfilter 模块到内核中，使你能够使用 Linux 桥接设备上的网络过滤功能。
modprobe  br_netfilter
# 加载读取内核参数配置文件
sysctl  -p  /etc/sysctl.d/k8s.conf

2.10 centos快速补全命令后的扩展项

powershell 复制代码

yum install   bash-completion-extras -y
source /usr/share/bash-completion/bash_completion
source <(kubectl completion bash)
echo "source <(kubectl completion bash)" >> ~/.bashrc

3 kubeadm工具

kubeadm是Kubernetes主推的部署工具之一，将k8s的组件打包为了镜像，然后通过kubeadm进行集群初始化创建。所以在使用kubeadm安装k8s的时候需要先安装docker。

3.1 安装docker基础环境

powershell 复制代码

yum remove docker docker-common docker-selinux docker-engine -y 

curl -o /etc/yum.repos.d/docker-ce.repo https://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo

yum makecache fast

yum list docker-ce --showduplicates

yum install docker-ce docker-ce-cli -y

#配置docker加速器、以及crgoup驱动，改为k8s官方推荐的systemd，否则初始化时会有报错。

mkdir -p /etc/docker

cat > /etc/docker/daemon.json <<'EOF'
{
  "registry-mirrors" : [
    "https://ms9glx6x.mirror.aliyuncs.com"],
    "exec-opts":["native.cgroupdriver=systemd"]
}
EOF

#启动
systemctl start docker && systemctl enable docker

docker version

3.2 安装cri-docker

描述信息：

从 k8s 1.24开始，dockershim已经从kubelet中移除，但因为历史问题docker却不支持kubernetes主推的CRI（容器运行时接口）标准，所以docker不能再作为k8s的容器运行时了，即从k8s v1.24开始不再使用docker了
但是如果想继续使用docker的话，可以在kubelet和docker之间加上一个中间层cri-docker。cri-docker是一个支持CRI标准的shim（垫片）。一头通过CRI跟kubelet交互，另一头跟docker api交互，从而间接的实现了kubernetes以docker作为容器运行时。但是这种架构缺点也很明显，调用链更长，效率更低。
本文采用了cri-docker的使用，但是更推荐使用containerd作为k8s的容器运行时

官方下载：

开源地址 https://github.com/Mirantis/cri-dockerd
下载地址 https://github.com/Mirantis/cri-dockerd/releases

3.2.1 下载cri-dockerd并上传到服务器

powershell 复制代码

tar -xf cri-dockerd-0.3.10.amd64.tgz

cp cri-dockerd/cri-dockerd  /usr/bin/

chmod +x /usr/bin/cri-dockerd

3.2.2 配置cri-docker启动文件

powershell 复制代码

cat <<"EOF" > /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
EOF

3.2.3 ⽣成 socket ⽂件，执行如下命令

powershell 复制代码

cat <<"EOF" > /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
EOF

3.2.4 启动cri-docker，并且设置开机启动

powershell 复制代码

systemctl daemon-reload
systemctl enable cri-docker --now
systemctl is-active cri-docker

3.3 安装k8s

3.3.1 添加阿里云源

powershell 复制代码

cat <<EOF > /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
EOF

# 建立元数据
yum makecache  fast

3.3.2 安装k8s的初始化工具kubeadm命令

kubelet-1.25.0 ， # 组件，增删改查pod再具体机器上，pod可以运行主节点上，node节点上
kubeadm-1.25.0 # k8s版本 1.25.0，自动拉去k8s基础组件镜像的一个工具，安装的kubeadm的版本信息，就决定了拉取k8s集群的版本镜像。
kubectl-1.25.0 # 管理，维护k8s客户端换，和服务端交互的一个命令行工具

powershell 复制代码

# 安装指定版本 kubeadm-1.25.0   ，安装的kubeadm版本，就是决定了，拉去什么版本的k8s集群版本的镜像
yum install -y kubelet-1.25.0 kubeadm-1.25.0 kubectl-1.25.0  ipvsadm

# yum list kubeadm --showduplicates   列出，这个阿里云k8s源，提供了哪些k8s版本

# 查看kubeadm的版本信息
[root@k8s-node-02 ~]# kubeadm version
kubeadm version: &version.Info{Major:"1", Minor:"25", GitVersion:"v1.25.0", GitCommit:"a866cbe2e5bbaa01cfd5e969aa3e033f3282a8a2", GitTreeState:"clean", BuildDate:"2022-08-23T17:43:25Z", GoVersion:"go1.19", Compiler:"gc", Platform:"linux/amd64"}

3.3.3 设置kubelet开机启动

该工具是用于建立在k8s集群中，master和node之间的联系的。

k8s-master服务器，机器开机后，所有组件运行，etcd存储所有的pod信息通知给api-server，通知给具体目标节点
k8s-node服务器，机器开机后，kubelet负责node节点和master节点通信，并且确认对当前机器pod状态的维护

powershell 复制代码

systemctl enable kubelet  docker

3.3.4 配置 cgroup-driver=systemd

powershell 复制代码

cat <<EOF > /etc/sysconfig/kubelet
KUBELET_EXTRA_ARGS="--cgroup-driver=systemd"
EOF

# 重新加载配置
systemctl daemon-reload

# 重启docker
systemctl restart docker

3.4 初始化k8s

3.4.1 初始化k8s-master（只在主节点执行）

kubeadm init

--apiserver-advertise-address=10.10.10.100 \ # api-server运行再k8s-master的ip上

--image-repository registry.aliyuncs.com/google_containers \ # 拉取k8s镜像，从阿里云上获取，否则默认是国外的k8s镜像地址，下载不了

--kubernetes-version v1.25.0 \ # 和kubeadm保持一直

--service-cidr=10.1.0.0/16 \ # k8s服务发现网段设置，service网段

--pod-network-cidr=10.2.0.0/16 \ # 设置pod创建后，的运行网段地址

--cri-socket /var/run/cri-dockerd.sock \ 支持使用cri-docker

--service-dns-domain=cluster.local \ # k8s服务发现网段设置，service资源的域名后缀

--ignore-preflight-errors=Swap \ # 忽略swap报错

--ignore-preflight-errors=NumCPU \ # 忽略cpu数量报错

--ignore-preflight-errors=all

powershell 复制代码

[root@k8s-master ~]# kubeadm init \
> --apiserver-advertise-address=10.10.10.100 \
> --image-repository registry.aliyuncs.com/google_containers \
> --kubernetes-version v1.25.0 \
> --service-cidr=10.1.0.0/16 \
> --pod-network-cidr=10.2.0.0/16 \
> --cri-socket /var/run/cri-dockerd.sock \
> --service-dns-domain=cluster.local \
> --ignore-preflight-errors=all
W0219 22:03:38.471584   10600 initconfiguration.go:119] Usage of CRI endpoints without URL scheme is deprecated and can cause kubelet errors in the future. Automatically prepending scheme "unix" to the "criSocket" with value "/var/run/cri-dockerd.sock". Please update your configuration!
[init] Using Kubernetes version: v1.25.0
[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-master kubernetes kubernetes.default kubernetes.default.svc kubernetes.default.svc.cluster.local] and IPs [10.1.0.1 10.10.10.100]
[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-master localhost] and IPs [10.10.10.100 127.0.0.1 ::1]
[certs] Generating "etcd/peer" certificate and key
[certs] etcd/peer serving cert is signed for DNS names [k8s-master localhost] and IPs [10.10.10.100 127.0.0.1 ::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 13.004448 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-master 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-master as control-plane by adding the taints [node-role.kubernetes.io/control-plane:NoSchedule]
[bootstrap-token] Using token: hjdyqz.byzmutnkmn448i5z
[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 10.10.10.100:6443 --token hjdyqz.byzmutnkmn448i5z \
	--discovery-token-ca-cert-hash sha256:18ce7af434e99a8edd527be3ea83603e68c50fb676b7cf9eeeb169f5ded88b7f

3.4.2 创建k8s集群配置文件（主节点执行）

powershell 复制代码

# 如上信息代表k8s-master集群搭建成功，需要在master节点上执行以下命令：
  mkdir -p $HOME/.kube
  sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
  sudo chown $(id -u):$(id -g) $HOME/.kube/config

可以通过kubectl get nodes 查看node节点信息，因为node节点暂时还未加入到集群，所以只显示了一个主节点信息。

3.4.3 查看主节点上都有哪些服务信息

3.4.3 加入k8s-node节点加入到k8s-master集群中（只在node节点执行）

由于我们使用的是k8s v1.25.0的版本，所以node节点在加入到集群的时候后面需要添加 --cri-socket /var/run/cri-dockerd.sock 这个参数，不然那会出现如上的报错信息。

powershell 复制代码

[root@k8s-node-01 ~]# kubeadm join 10.10.10.100:6443 --token hjdyqz.byzmutnkmn448i5z --discovery-token-ca-cert-hash sha256:18ce7af434e99a8edd527be3ea83603e68c50fb676b7cf9eeeb169f5ded88b7f  --cri-socket /var/run/cri-dockerd.sock
W0219 22:58:28.669343   10754 initconfiguration.go:119] Usage of CRI endpoints without URL scheme is deprecated and can cause kubelet errors in the future. Automatically prepending scheme "unix" to the "criSocket" with value "/var/run/cri-dockerd.sock". Please update your configuration!
[preflight] Running pre-flight checks
[preflight] Reading configuration from the cluster...
[preflight] FYI: You can look at this config file with 'kubectl -n kube-system get cm kubeadm-config -o yaml'
[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] Starting the kubelet
[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.

3.4.5 查看node上都启动的那些服务

3.4.6 在master节点上查看node信息

如下图中，可以看到node的状态是未就绪状态，还缺少一个网络组件来使k8s正常工作。

3.4.7 安装一个网络插件flannel

网络插件flannel地址：https://github.com/flannel-io/flannel/blob/master/Documentation/kube-flannel.yml，

3.4.7.1 flannel.yml源文件如下

yml 复制代码

---
kind: Namespace
apiVersion: v1
metadata:
  name: kube-flannel
  labels:
    k8s-app: flannel
    pod-security.kubernetes.io/enforce: privileged
---
kind: ClusterRole
apiVersion: rbac.authorization.k8s.io/v1
metadata:
  labels:
    k8s-app: flannel
  name: flannel
rules:
- apiGroups:
  - ""
  resources:
  - pods
  verbs:
  - get
- apiGroups:
  - ""
  resources:
  - nodes
  verbs:
  - get
  - list
  - watch
- apiGroups:
  - ""
  resources:
  - nodes/status
  verbs:
  - patch
- apiGroups:
  - networking.k8s.io
  resources:
  - clustercidrs
  verbs:
  - list
  - watch
---
kind: ClusterRoleBinding
apiVersion: rbac.authorization.k8s.io/v1
metadata:
  labels:
    k8s-app: flannel
  name: flannel
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: ClusterRole
  name: flannel
subjects:
- kind: ServiceAccount
  name: flannel
  namespace: kube-flannel
---
apiVersion: v1
kind: ServiceAccount
metadata:
  labels:
    k8s-app: flannel
  name: flannel
  namespace: kube-flannel
---
kind: ConfigMap
apiVersion: v1
metadata:
  name: kube-flannel-cfg
  namespace: kube-flannel
  labels:
    tier: node
    k8s-app: flannel
    app: flannel
data:
  cni-conf.json: |
    {
      "name": "cbr0",
      "cniVersion": "0.3.1",
      "plugins": [
        {
          "type": "flannel",
          "delegate": {
            "hairpinMode": true,
            "isDefaultGateway": true
          }
        },
        {
          "type": "portmap",
          "capabilities": {
            "portMappings": true
          }
        }
      ]
    }
  net-conf.json: |
    {
      "Network": "10.244.0.0/16",
      "Backend": {
        "Type": "vxlan"
      }
    }
---
apiVersion: apps/v1
kind: DaemonSet
metadata:
  name: kube-flannel-ds
  namespace: kube-flannel
  labels:
    tier: node
    app: flannel
    k8s-app: flannel
spec:
  selector:
    matchLabels:
      app: flannel
  template:
    metadata:
      labels:
        tier: node
        app: flannel
    spec:
      affinity:
        nodeAffinity:
          requiredDuringSchedulingIgnoredDuringExecution:
            nodeSelectorTerms:
            - matchExpressions:
              - key: kubernetes.io/os
                operator: In
                values:
                - linux
      hostNetwork: true
      priorityClassName: system-node-critical
      tolerations:
      - operator: Exists
        effect: NoSchedule
      serviceAccountName: flannel
      initContainers:
      - name: install-cni-plugin
        image: docker.io/flannel/flannel-cni-plugin:v1.4.0-flannel1
        command:
        - cp
        args:
        - -f
        - /flannel
        - /opt/cni/bin/flannel
        volumeMounts:
        - name: cni-plugin
          mountPath: /opt/cni/bin
      - name: install-cni
        image: docker.io/flannel/flannel:v0.24.2
        command:
        - cp
        args:
        - -f
        - /etc/kube-flannel/cni-conf.json
        - /etc/cni/net.d/10-flannel.conflist
        volumeMounts:
        - name: cni
          mountPath: /etc/cni/net.d
        - name: flannel-cfg
          mountPath: /etc/kube-flannel/
      containers:
      - name: kube-flannel
        image: docker.io/flannel/flannel:v0.24.2
        command:
        - /opt/bin/flanneld
        args:
        - --ip-masq
        - --kube-subnet-mgr
        resources:
          requests:
            cpu: "100m"
            memory: "50Mi"
        securityContext:
          privileged: false
          capabilities:
            add: ["NET_ADMIN", "NET_RAW"]
        env:
        - name: POD_NAME
          valueFrom:
            fieldRef:
              fieldPath: metadata.name
        - name: POD_NAMESPACE
          valueFrom:
            fieldRef:
              fieldPath: metadata.namespace
        - name: EVENT_QUEUE_DEPTH
          value: "5000"
        volumeMounts:
        - name: run
          mountPath: /run/flannel
        - name: flannel-cfg
          mountPath: /etc/kube-flannel/
        - name: xtables-lock
          mountPath: /run/xtables.lock
      volumes:
      - name: run
        hostPath:
          path: /run/flannel
      - name: cni-plugin
        hostPath:
          path: /opt/cni/bin
      - name: cni
        hostPath:
          path: /etc/cni/net.d
      - name: flannel-cfg
        configMap:
          name: kube-flannel-cfg
      - name: xtables-lock
        hostPath:
          path: /run/xtables.lock
          type: FileOrCreate

注：如上flannel的yml文件不可以直接使用，需要修改

3.4.7.2 修改一：pod网络信息，这个信息是kubeadm init初始化填写的pod网络信息

3.4.7.3 修改二：告诉flannel主机通信使用的是哪个网卡

跨主机的容器通信，最终不得走宿主机的物理网卡。
告诉flannel的你物理网卡是谁
添加一行args：- --iface=ens33

3.4.7.4 基于kubelet命令，应用这个yml文件，读取和创建pod资源

powershell 复制代码

[root@k8s-master ~]# kubectl create -f ./kube-flannel.yml
namespace/kube-flannel created
clusterrole.rbac.authorization.k8s.io/flannel created
clusterrolebinding.rbac.authorization.k8s.io/flannel created
serviceaccount/flannel created
configmap/kube-flannel-cfg created
daemonset.apps/kube-flannel-ds created

使用kubeadm快速部署一个k8s集群

前言

1 安装准备

2 环境准备

2.1虚拟机IP列表准备

2.2 关闭swap

2.3 设置主机名

2.4 服务器hosts解析设置

2.5 关闭防火墙

2.6 关闭selinux

2.7 设置阿里云源

2.8 确保ntp 网络正常

2.9 修改linux内核参数，开启数据包转发功能

2.10 centos快速补全命令后的扩展项

3 kubeadm工具

3.1 安装docker基础环境

3.2 安装cri-docker

3.2.1 下载cri-dockerd并上传到服务器

3.2.2 配置cri-docker启动文件

3.2.3 ⽣成 socket ⽂件，执行如下命令

3.2.4 启动cri-docker，并且设置开机启动

3.3 安装k8s

3.3.1 添加阿里云源

3.3.2 安装k8s的初始化工具kubeadm命令

3.3.3 设置kubelet开机启动

3.3.4 配置 cgroup-driver=systemd

3.4 初始化k8s

3.4.1 初始化k8s-master（只在主节点执行）

3.4.2 创建k8s集群配置文件（主节点执行）

3.4.3 查看主节点上都有哪些服务信息

3.4.3 加入k8s-node节点加入到k8s-master集群中 （只在node节点执行）

3.4.5 查看node上都启动的那些服务

3.4.6 在master节点上查看node信息

3.4.7 安装一个网络插件flannel

3.4.7.1 flannel.yml源文件如下

3.4.7.2 修改一：pod网络信息，这个信息是kubeadm init初始化填写的pod网络信息

3.4.7.3 修改二：告诉flannel主机通信使用的是哪个网卡

3.4.7.4 基于kubelet命令，应用这个yml文件，读取和创建pod资源

3.4.8 至此，k8s集群搭建完成

3.4.3 加入k8s-node节点加入到k8s-master集群中（只在node节点执行）