kubernetes系列教程（二）kubeadm离线部署1.14.1集群

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HappyLau谈云计算

修改于 2020-02-13 12:21:55

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修改于 2020-02-13 12:21:55

文章被收录于专栏：云计算技术专栏

视频教程连接：kubernetes快速入门

写在前面

本章是kubernetes系列教程第二篇，要深入学习kubernetes，首先需要有一个k8s环境，然而，受制硬件环境，网络环境等因素，要搭建一个环境有一定的困难，让很多初学者望而却步，本章主要介绍通过kubeadm安装工具部署kubernetes集群，考虑到国内网络限制，已将安装镜像通过跳板机下载到本地，方便大家离线安装。

1. MiniKube快速部署环境

1.1 安装概述

要学习kubernetes，首先需要有一个kubernetes集群，社区为了满足不同场景下，提供了不同的安装方法以适应各种场景需求，常见方法有：

MiniKube，是一个将kubernetes单节点安装在本地虚拟化工具，MiniKube安装文档
二进制安装，通过已编译好的二进制文件安装，需设置参数，可定制化强，安装难度大
Kubeadm，一个自动化安装工具，以镜像的方式部署，使用简单，镜像在谷歌仓库，下载易失败

对于学习环境，Katacoda提供了一个在线的MiniKube环境，只需在控制台启用即可使用，当然也可以将MiniKube下载到本地使用。对于生产环境，推荐使用二进制安装或者Kubeadm，新版kubeadm目前已将kubernetes管理组件以pod的形式部署在集群中，不管用哪种方式，受限于GFW，大部分镜像下载，大家自行补脑和解决，本文以离线的方式安装部署，根据安装版本下载对应的安装镜像倒入系统即可。

1.2 MiniKube在线环境

Katacoda使用MiniKube提供了一个在线部署kubernetres环境，当然也可以基于MiniKube本地安装，如果是初学者想初探一下kubernetes的功能，可以使用Katacoda提供的线上环境，达到快速入门学习的目的。参考文档，直接在Hello MiniKube文档中点击Open terminal即可自动创建一个kubernetes环境，其会自动拉取镜像并部署所需环境。

如上图所示，MiniKube的提供的优点如下：

快捷，自动部署环境
无需占用本地资源
适用于学习环境

2 kubeadm部署k8s集群

2.1 环境说明和准备

【软件版本】

软件名	软件版本
OS	CentOS Linux release 7.6.1810 (Core)
Docker	docker-ce-18.03.1.ce-1.el7
Kubernetes	1.14.1
Kubeadm	kubeadm-1.14.1-0.x86_64
etcd	3.3.10
flannel	v0.11.0

【环境说明】

三台机器均为腾讯云上购买的CVM（Cloud Virtual Machine），机器配置是2vcpu+4G memory+50G disk

主机名	角色	IP地址	软件
node-1	master	10.254.100.101	docker,kubelet,etcd,kube-apiserver,kube-controller-manager,kube-scheduler
node-2	worker	10.254.100.102	docker,kubelet,kube-proxy,flannel
node-3	worker	10.254.100.103	docker,kubelet,kube-proxy,flannel

【环境准备】

1、设置主机名，其他两个节点类似设置

root@VM_100_101_centos ~# hostnamectl set-hostname node-1
root@VM_100_101_centos ~# hostname
node-1

2、设置hosts文件，其他两个节点设置相同内容

root@node-1 ~# vim /etc/hosts
127.0.0.1 localhost localhost.localdomain 
10.254.100.101 node-1
10.254.100.102 node-2
10.254.100.103 node-3

3、设置SSH无密码登录，并通过ssh-copy-id将公钥拷贝到对端

#生成密钥对
root@node-1 .ssh# ssh-keygen -P ''
Generating public/private rsa key pair.
Enter file in which to save the key (/root/.ssh/id_rsa): 
Your identification has been saved in /root/.ssh/id_rsa.
Your public key has been saved in /root/.ssh/id_rsa.pub.
The key fingerprint is:
SHA256:zultDMEL8bZmpbUjQahVjthVAcEkN929w5EkUmPkOrU root@node-1
The key's randomart image is:
+---RSA 2048----+
|      .=O=+=o.. |
|     o+o..+.o+  |
|    .oo=.   o. o |
|    . . * oo .+  |
|       oSOo.E  . |
|       oO.o.     |
|       o++ .     |
|       . .o      |
|        ...      |
+----SHA256-----+

#拷贝公钥到node-2和node-3节点
root@node-1 .ssh# ssh-copy-id -i /root/.ssh/id_rsa.pub node-2:
/usr/bin/ssh-copy-id: INFO: Source of key(s) to be installed: "/root/.ssh/id_rsa.pub"
The authenticity of host 'node-1 (10.254.100.101)' can't be established.
ECDSA key fingerprint is SHA256:jLUH0exgyJdsy0frw9R+FiWy+0o54LgB6dgVdfc6SEE.
ECDSA key fingerprint is MD5:f4:86:a8:0e:a6:03:fc:a6:04:df:91:d8:7a:a7:0d:9e.
Are you sure you want to continue connecting (yes/no)? yes
/usr/bin/ssh-copy-id: INFO: attempting to log in with the new key(s), to filter out any that are already installed
/usr/bin/ssh-copy-id: INFO: 1 key(s) remain to be installed -- if you are prompted now it is to install the new keys
root@node-1's password: 
Number of key(s) added: 1
Now try logging into the machine, with:   "ssh 'node-2'"
and check to make sure that only the key(s) you wanted were added.

4、关闭防火墙和SElinux

[root@node-1 ~]# systemctl stop firewalld
[root@node-1 ~]# systemctl disable firewalld
[root@node-1 ~]# sed -i '/^SELINUX=/ s/enforcing/disabled/g' /etc/selinux/config 
[root@node-1 ~]# setenforce 0

2.2 安装Docker环境

1、下载docker的yum源

[root@node-1 ~]# cd /etc/yum.repos.d/
[root@node-1 ~]# wget https://download.docker.com/linux/centos/docker-ce.repo

2、设置cgroup driver类型为systemd

[root@node-1 ~]# cat > /etc/docker/daemon.json <<EOF
> {
>  "exec-opts": ["native.cgroupdriver=systemd"],
>  "log-driver": "json-file",
>  "log-opts": {
>  "max-size": "100m"
>  },
>  "storage-driver": "overlay2",
>  "storage-opts": [
>  "overlay2.override_kernel_check=true"
>  ]
> }
> EOF

3、启动docker服务并验证，可以通过docker info查看docker安装的版本等信息

[root@node-1 ~]# systemctl restart docker
[root@node-1 ~]# systemctl enable docker

备注：如果机器不具备上网条件，或者访问docker的yum源仓库很慢，我已将docker相关rpm包依赖包下载到腾讯云cos中，下载链接，可以下载到本地，然后解压缩然后运行yum localinstall进行安装。

2.3 安装kubeadm组件

1、安装kubernetes源，国内可以使用阿里的kubernetes源，速度会快一点

[root@node-1 ~]#cat <<EOF > /etc/yum.repos.d/kubernetes.repo
[kubernetes]
name=Kubernetes
baseurl=https://mirrors.aliyun.com/kubernetes/yum/repos/kubernetes-el7-x86_64
enabled=1
gpgcheck=1
repo_gpgcheck=1
gpgkey=https://mirrors.aliyun.com/kubernetes/yum/doc/yum-key.gpg https://mirrors.aliyun.com/kubernetes/yum/doc/rpm-package-key.gpg
EOF

2、安装kubeadm，kubelet，kubectl，会自动安装几个重要依赖包：socat，cri-tools，cni等包

[root@node-1 ~]# yum install kubeadm-1.14.1-0 kubectl-1.14.1-0 kubelet-1.14.1-0 --disableexcludes=kubernetes -y

3、设置iptables网桥参数

[root@node-1 ~]# cat <<EOF >  /etc/sysctl.d/k8s.conf
> net.bridge.bridge-nf-call-ip6tables = 1
> net.bridge.bridge-nf-call-iptables = 1
> EOF

[root@node-1 ~]# sysctl --system,然后使用sysctl -a|grep 参数的方式验证是否生效

4、重新启动kubelet服务，使配置生效

[root@node-1 ~]# systemctl restart kubelet
[root@node-1 ~]# systemctl enable kubelet

备注：如果本地下载很慢或者无法下载kubernetes中yum源rpm包，可以通过离线方式下载，下载路径

2.4 导入kubernetes镜像

1、从cos中下载kubernetes安装镜像，并通过docker load命令将镜像导入到环境中

[root@node-1 v1.14.1]# docker image load -i etcd:3.3.10.tar 
[root@node-1 v1.14.1]# docker image load -i pause:3.1.tar 
[root@node-1 v1.14.1]# docker image load -i coredns:1.3.1.tar 
[root@node-1 v1.14.1]# docker image load -i flannel:v0.11.0-amd64.tar 
[root@node-1 v1.14.1]# docker image load -i kube-apiserver:v1.14.1.tar 
[root@node-1 v1.14.1]# docker image load -i kube-controller-manager:v1.14.1.tar 
[root@node-1 v1.14.1]# docker image load -i kube-scheduler:v1.14.1.tar 
[root@node-1 v1.14.1]# docker image load -i kube-proxy:v1.14.1.tar

2、检查镜像列表

[root@node-1 v1.14.1]# docker image list
REPOSITORY                           TAG                 IMAGE ID            CREATED             SIZE
k8s.gcr.io/kube-proxy                v1.14.1             20a2d7035165        3 months ago        82.1MB
k8s.gcr.io/kube-apiserver            v1.14.1             cfaa4ad74c37        3 months ago        210MB
k8s.gcr.io/kube-scheduler            v1.14.1             8931473d5bdb        3 months ago        81.6MB
k8s.gcr.io/kube-controller-manager   v1.14.1             efb3887b411d        3 months ago        158MB
quay.io/coreos/flannel               v0.11.0-amd64       ff281650a721        6 months ago        52.6MB
k8s.gcr.io/coredns                   1.3.1               eb516548c180        6 months ago        40.3MB
k8s.gcr.io/etcd                      3.3.10              2c4adeb21b4f        8 months ago        258MB
k8s.gcr.io/pause                     3.1                 da86e6ba6ca1        19 months ago       742kB

2.5 kubeadm初始化集群

1、 kubeadm初始化集群，需要设置初始参数

--pod-network-cidr指定pod使用的网段，设置值根据不同的网络plugin选择，本文以flannel为例设置值为10.244.0.0/16
container runtime可以通过--cri-socket指定socket文件所属路径
如果有多个网卡可以通过--apiserver-advertise-address指定master地址，默认会选择访问外网的ip

[root@node-1 ~]# kubeadm init --apiserver-advertise-address 10.254.100.101 --apiserver-bind-port 6443 --kubernetes-version 1.14.1 --pod-network-cidr 10.244.0.0/16
[init] Using Kubernetes version: v1.14.1
[preflight] Running pre-flight checks
 [WARNING SystemVerification]: this Docker version is not on the list of validated versions: 18.03.1-ce. Latest validated version: 18.09
[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'#下载镜像
[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] Activating the kubelet service
[certs] Using certificateDir folder "/etc/kubernetes/pki"#生成CA等证书
[certs] Generating "ca" certificate and key
[certs] Generating "apiserver" certificate and key
[certs] apiserver serving cert is signed for DNS names [node-1 kubernetes kubernetes.default kubernetes.default.svc kubernetes.default.svc.cluster.local] and IPs [10.96.0.1 10.254.100.101]
[certs] Generating "apiserver-kubelet-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 [node-1 localhost] and IPs [10.254.100.101 127.0.0.1 ::1]
[certs] Generating "apiserver-etcd-client" certificate and key
[certs] Generating "etcd/peer" certificate and key
[certs] etcd/peer serving cert is signed for DNS names [node-1 localhost] and IPs [10.254.100.101 127.0.0.1 ::1]
[certs] Generating "etcd/healthcheck-client" certificate and key
[certs] Generating "front-proxy-ca" certificate and key
[certs] Generating "front-proxy-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"#生成master节点静态pod配置文件
[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 18.012370 seconds
[upload-config] storing the configuration used in ConfigMap "kubeadm-config" in the "kube-system" Namespace
[kubelet] Creating a ConfigMap "kubelet-config-1.14" in namespace kube-system with the configuration for the kubelets in the cluster
[upload-certs] Skipping phase. Please see --experimental-upload-certs
[mark-control-plane] Marking the node node-1 as control-plane by adding the label "node-role.kubernetes.io/master=''"
[mark-control-plane] Marking the node node-1 as control-plane by adding the taints [node-role.kubernetes.io/master:NoSchedule]
[bootstrap-token] Using token: r8n5f2.9mic7opmrwjakled
[bootstrap-token] Configuring bootstrap tokens, cluster-info ConfigMap, RBAC Roles#配置RBAC授权
[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
[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 #配置环境变量配置文件
 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: #安装网络插件
 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 10.254.100.101:6443 --token r8n5f2.9mic7opmrwjakled \ #添加节点命令，优先记录下来
 --discovery-token-ca-cert-hash sha256:16e383c8abff6233021331944080087f0514ddd15d96c65d19443b0af02d64ab

通过kubeadm init --apiserver-advertise-address 10.254.100.101 --apiserver-bind-port 6443 --kubernetes-version 1.14.1 --pod-network-cidr 10.244.0.0/16安装命令，显示了kubeadm安装过程中的一些重要步骤：下载镜像，生成证书，生成配置文件，配置RBAC授权认证，配置环境变量，安装网络插件指引，添加node指引配置文件。

2、生成kubectl环境配置文件

[root@node-1 ~]# mkdir /root/.kube
[root@node-1 ~]# cp -i /etc/kubernetes/admin.conf /root/.kube/config
[root@node-1 ~]# kubectl get nodes
NAME  STATUS  ROLES AGE  VERSION
node-1  NotReady  master  6m29s  v1.14.1

3、添加node节点，将另外两个节点加入到集群中，复制上述的添加节点命令到指定节点添加即可。

[root@node-3 ~]# kubeadm join 10.254.100.101:6443 --token r8n5f2.9mic7opmrwjakled \
>     --discovery-token-ca-cert-hash sha256:16e383c8abff6233021331944080087f0514ddd15d96c65d19443b0af02d64ab 
[preflight] Running pre-flight checks
	[WARNING SystemVerification]: this Docker version is not on the list of validated versions: 18.03.1-ce. Latest validated version: 18.09
[preflight] Reading configuration from the cluster...
[preflight] FYI: You can look at this config file with 'kubectl -n kube-system get cm kubeadm-config -oyaml'
[kubelet-start] Downloading configuration for the kubelet from the "kubelet-config-1.14" ConfigMap in the kube-system namespace
[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] Activating the kubelet service
[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.

以此类推到node-2节点添加即可，添加完之后通过kubectl get nodes验证，此时由于还没有安装网络plugin，
所有的node节点均显示NotReady状态：
[root@node-1 ~]# kubectl get nodes
NAME     STATUS     ROLES    AGE     VERSION
node-1   NotReady   master   16m     v1.14.1
node-2   NotReady   <none>   4m34s   v1.14.1
node-3   NotReady   <none>   2m10s   v1.14.1

4、安装网络plugin，kubernetes支持多种类型网络插件，要求网络支持CNI插件即可，CNI是Container Network Interface，要求kubernetes的中pod网络访问方式：

node和node之间网络互通
pod和pod之间网络互通
node和pod之间网络互通

不同的CNI plugin支持的特性有所差别。kubernetes支持多种开源的网络CNI插件，常见的有flannel、calico、canal、weave等，flannel是一种overlay的网络模型，通过vxlan隧道方式构建tunnel网络，实现k8s中网络的互联，后续在做介绍，如下是安装过程：

[root@node-1 ~]# kubectl apply -f https://raw.githubusercontent.com/coreos/flannel/62e44c867a2846fefb68bd5f178daf4da3095ccb/Documentation/kube-flannel.yml
podsecuritypolicy.extensions/psp.flannel.unprivileged created
clusterrole.rbac.authorization.k8s.io/flannel created
clusterrolebinding.rbac.authorization.k8s.io/flannel created
serviceaccount/flannel created
configmap/kube-flannel-cfg created
daemonset.extensions/kube-flannel-ds-amd64 created
daemonset.extensions/kube-flannel-ds-arm64 created
daemonset.extensions/kube-flannel-ds-arm created
daemonset.extensions/kube-flannel-ds-ppc64le created
daemonset.extensions/kube-flannel-ds-s390x created

5、通过上述输出可知道，部署flannel 需要RBAC授权，配置configmap和daemonset，其中Daemonset能够适配各种类型的CPU架构，默认安装了多个，一般是adm64即可，可以将上述的url下载编辑，保留kube-flannel-ds-amd64这个daemonset即可，或者将其删除

#查看flannel安装的daemonsets
[root@node-1 ~]# kubectl get daemonsets -n kube-system 
NAME                      DESIRED   CURRENT   READY   UP-TO-DATE   AVAILABLE   NODE SELECTOR                     AGE
kube-flannel-ds-amd64     3         3         3       3            3           beta.kubernetes.io/arch=amd64     2m34s
kube-flannel-ds-arm       0         0         0       0            0           beta.kubernetes.io/arch=arm       2m34s
kube-flannel-ds-arm64     0         0         0       0            0           beta.kubernetes.io/arch=arm64     2m34s
kube-flannel-ds-ppc64le   0         0         0       0            0           beta.kubernetes.io/arch=ppc64le   2m34s
kube-flannel-ds-s390x     0         0         0       0            0           beta.kubernetes.io/arch=s390x     2m34s
kube-proxy                3         3         3       3            3           <none>                            30m

#删除不需要的damonsets
[root@node-1 ~]# kubectl delete daemonsets kube-flannel-ds-arm kube-flannel-ds-arm64 kube-flannel-ds-ppc64le kube-flannel-ds-s390x -n kube-system
daemonset.extensions "kube-flannel-ds-arm" deleted
daemonset.extensions "kube-flannel-ds-arm64" deleted
daemonset.extensions "kube-flannel-ds-ppc64le" deleted
daemonset.extensions "kube-flannel-ds-s390x" deleted

6、此时再验证node的安装情况,所有节点均已显示为Ready状态，安装完毕！

[root@node-1 ~]# kubectl get nodes
NAME     STATUS   ROLES    AGE   VERSION
node-1   Ready    master   29m   v1.14.1
node-2   Ready    <none>   17m   v1.14.1
node-3   Ready    <none>   15m   v1.14.1

2.6 验证kubernetes组件

1、验证node状态，获取当前安装节点，可以查看到状态，角色，启动市场，版本，

[root@node-1 ~]# kubectl get nodes 
NAME     STATUS   ROLES    AGE   VERSION
node-1   Ready    master   46m   v1.14.1
node-2   Ready    <none>   34m   v1.14.1
node-3   Ready    <none>   32m   v1.14.1

2、查看kubernetse服务组件状态,包括scheduler，controller-manager，etcd

[root@node-1 ~]# kubectl get componentstatuses 
NAME  STATUS MESSAGE  ERROR
scheduler Healthy  ok  
controller-manager  Healthy  ok  
etcd-0  Healthy  {"health":"true"}

3、查看pod的情况,master中的角色包括kube-apiserver，kube-scheduler，kube-controller-manager，etcd，coredns以pods形式部署在集群中，worker节点的kube-proxy也以pod的形式部署。实际上pod是以其他控制器如daemonset的形式控制的。

[root@node-1 ~]# kubectl get pods -n kube-system 
NAME  READY  STATUS RESTARTS  AGE
coredns-fb8b8dccf-hrqm8 1/1  Running  0 50m
coredns-fb8b8dccf-qwwks 1/1  Running  0 50m
etcd-node-1 1/1  Running  0 48m
kube-apiserver-node-1 1/1  Running  0 49m
kube-controller-manager-node-1  1/1  Running  0 49m
kube-proxy-lfckv  1/1  Running  0 38m
kube-proxy-x5t6r  1/1  Running  0 50m
kube-proxy-x8zqh  1/1  Running  0 36m
kube-scheduler-node-1 1/1  Running  0 49m

2.7 配置kubectl命令补全

使用kubectl和kubernetes交互时候可以使用缩写模式也可以使用完整模式，如kubectl get nodes和kubectl get no能实现一样的效果，为了提高工作效率，可以使用命令补全的方式加快工作效率。

1、生成kubectl bash命令行补全shell

[root@node-1 ~]# kubectl completion bash >/etc/kubernetes/kubectl.sh
[root@node-1 ~]# echo "source /etc/kubernetes/kubectl.sh" >>/root/.bashrc 
[root@node-1 ~]# cat /root/.bashrc 
# .bashrc

# User specific aliases and functions

alias rm='rm -i'
alias cp='cp -i'
alias mv='mv -i'

# Source global definitions
if [ -f /etc/bashrc ]; then
	. /etc/bashrc
fi
source /etc/kubernetes/kubectl.sh #添加环境变量配置

2、加载shell环境变量，使配置生效

[root@node-1 ~]# source /etc/kubernetes/kubectl.sh

3、校验命令行补全，命令行中输入kubectl get co再按TAB键就能自动补全了

[root@node-1~]# kubectl get co componentstatuses configmaps  controllerrevisions.apps   
[root@node-1~]# kubectl get componentstatuses

除了支持命令行补全之外，kubectl还支持命令简写，如下是一些常见的命令行检测操作,更多通过kubectl api-resources命令获取，SHORTNAMES显示的是子命令中的简短用法。

kubectl get componentstatuses，简写kubectl get cs获取组件状态
kubectl get nodes，简写kubectl get no获取node节点列表
kubectl get services，简写kubectl get svc获取服务列表
kubectl get deployments,简写kubectl get deploy获取deployment列表
kubectl get statefulsets,简写kubectl get sts获取有状态服务列表

参考文档

Container Runtime安装文档：https://kubernetes.io/docs/setup/production-environment/container-runtimes/
kubeadm安装：https://kubernetes.io/docs/setup/production-environment/tools/kubeadm/install-kubeadm/
初始化kubeadm集群：https://kubernetes.io/docs/setup/production-environment/tools/kubeadm/create-cluster-kubeadm/#pod-network

当你的才华撑不起你的野心时，你就应该静下心来学习

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关于作者刘海平（HappyLau ）云计算高级顾问目前在腾讯云从事公有云相关工作，曾就职于酷狗，EasyStack，拥有多年公有云+私有云计算架构设计，运维，交付相关经验，参与了酷狗，南方电网，国泰君安等大型私有云平台建设，精通Linux，Kubernetes，OpenStack，Ceph等开源技术，在云计算领域具有丰富实战经验，拥有RHCA/OpenStack/Linux授课经验。

原创声明：本文系作者授权腾讯云开发者社区发表，未经许可，不得转载。

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