云计算-使用Kubeadm在阿里云搭建单Master多Node的K8S

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云计算-使用Kubeadm在阿里云搭建单Master多Node的K8S

阿里云的机器搭建

  • 进入阿里云选择云服务器 ECS

云计算-使用Kubeadm在阿里云搭建单Master多Node的K8S_kubeadm

  • 单击管理控制台

云计算-使用Kubeadm在阿里云搭建单Master多Node的K8S_Kubernetes_02

  • 创建我的ECS

云计算-使用Kubeadm在阿里云搭建单Master多Node的K8S_tomcat_03

  • 开始创建,然后选择​按量付费​,其他可以自行选择

云计算-使用Kubeadm在阿里云搭建单Master多Node的K8S_kubeadm_04

机器环境配置

本次搭建三台机器,一台Master,两台Node,默认情况下是在三台机器上都操作,说明的是在一台master机器上操作,在阿里云上搭建的时候,ip使用阿里的私有ip,只有浏览器访问的时候使用IP

ip

节点

hostname

8.134.74.86   172.17.75.165

master

kubeadm001

8.134.83.65   172.17.75.163

node

kubeadm002

8.134.86.26   172.17.75.164

node

kubeadm003

安装个可能用到的基础包

yum install -y openssh-clients  openssh-clients   ntpdate   yum-utils device-mapper-persistent-data lvm2 wget net-tools nfs-utils lrzsz gcc gcc-c++ make cmake libxml2-devel openssl-devel curl curl-devel unzip sudo ntp libaio-devel wget vim ncurses-devel autoconf automake zlib-devel python-devel epel-release openssh-server socat ipvsadm conntrack ntpdate telnet ipvsadm

修改主机hosts文件

修改每台机器的/etc/hosts文件,主要添加三行

172.17.75.162   kubeadm001  kubeadm001
172.17.75.160 kubeadm002 kubeadm002
172.17.75.161 kubeadm003 kubeadm003

云计算-使用Kubeadm在阿里云搭建单Master多Node的K8S_Kubernetes_05

主机间免密登录

主要是kubeadm001和其他机器之间的免密登录

  • 输入ssh-keygen,任何一路回车,不输入任何密码
ssk-keygen

云计算-使用Kubeadm在阿里云搭建单Master多Node的K8S_kubeadm_06

  • 把本地生成的密钥文件拷贝到远程主机kubeadm002和kubeadm003上面
ssh-copy-id kubeadm002
ssh-copy-id kubeadm003

云计算-使用Kubeadm在阿里云搭建单Master多Node的K8S_Kubernetes_07

关闭交换区,提升性能

swapoff  -a

为什么关闭交换区?

Swap是交换区,在机器内存不够的情况下,就会适应Swap,但是Swap的性能不是很好,K8S设计的时候为了提升性能,默认不允许使用Swap分区。Kubeadm初始化的时候会检测Swap是否关闭,如果没有关闭,初始化会失败。​如果不想关闭交换分区,安装k8s的时候可以指定-- ignore -preflight-errors=Swap​解决。

修改机器内核参数

modprobe br_netfilter
echo "modprobe br_netfilter" >> /etc/profile
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
EOF
sysctl -p /etc/sysctl.d/k8s.conf

关闭防火墙

systemctl stop firewalld && systemctl disable firewalld && systemctl status firewalld

云计算-使用Kubeadm在阿里云搭建单Master多Node的K8S_kubeadm_08

如果你不习惯使用firewalld,可以安装​​iptables​​,在三台机器上做如下操作

  • 安装​​iptables​​基础包
yum install iptables-services -y
  • 关闭​​iptables​
service iptables stop && systemctl disable iptabl
  • 清空防火墙规则
iptables -F

关闭selinux

使用​​getenforce ​​查看selinux是否关闭

[root@kubeadm003 ~]# getenforce

如果结果不是​Disabled,使用以下命令关闭selinux

sed -i s/SELINUX=enforcing/SELINUX=disabled/g /etc/selinux/config

​:修改selinux需要重启机器。

时间同步

把三台机器上的时间同网络时间进行同步

  • 将机器时间同网络时间进行同步
ntpdate cn.pool.ntp.org
  • 做一个定时任务将机器时间每小时和网络时间同步一次
crontab -e
  • 添加定时任务
* */1 * * * /usr/sbin/ntpdate cn.pool.ntp.org
  • 重启定时任务
systemctl start crond

开启ipvs

  • 在​​/etc/sysconfig/modules​​目录下添加ipvs.modules文件内容如下
vi /etc/sysconfig/modules/ipvs.modules
#!/bin/bash
ipvs_modules="ip_vs ip_vs_lc ip_vs_wlc ip_vs_rr ip_vs_wrr ip_vs_lblc ip_vs_lblcr ip_vs_dh ip_vs_sh ip_vs_nq ip_vs_sed ip_vs_ftp nf_conntrack"
for kernel_module in $ipvs_modules; do
/sbin/modinfo -F filename $kernel_module > /dev/null 2>&1
if [ 0 -eq 0 ]; then
/sbin/modprobe $kernel_module
fi
done
  • 将​​ipvs.modules​​添加为可执行文件,并执行文件和查看执行情况
chmod +x /etc/sysconfig/modules/ipvs.modules && bash /etc/sysconfig/modules/ipvs.modules && lsmod | grep ip_vs

云计算-使用Kubeadm在阿里云搭建单Master多Node的K8S_tomcat_09

什么是ipvs

ipvs(IP Virtual Server)实现的是传输层负载均衡,是Linux内核的一部分。ipvs运行在宿主机上,充当负载均衡器。

配置K8S组件需要的repo源

  • 使用vi 添加/etc/yum.repos.d/kubernetes.repo
vi /etc/yum.repos.d/kubernetes.repo

文件内容如下

[kubernetes] 
name=Kubernetes
baseurl=https://mirrors.aliyun.com/kubernetes/yum/repos/kubernetes-el7-x86_64/
enabled=1
gpgcheck=0

安装 docker 服务

旧版本的卸载

在安装新的docker的时候,机器可能在以前安装过docker旧版本,我们需要将其进行卸载:

yum remove docker \\
docker-client \\
docker-client-latest \\
docker-common \\
docker-latest \\
docker-latest-logrotate \\
docker-logrotate \\
docker-engine

镜像仓的设置

一般我们在国内的话使用国内的镜像仓,我一般使用阿里的镜像仓

云计算-使用Kubeadm在阿里云搭建单Master多Node的K8S_tomcat_10

使用阿里国内源安装docker
yum-config-manager \\
--add-repo \\
http://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo

sudo sed -i s+download.docker.com+mirrors.aliyun.com/docker-ce+ /etc/yum.repos.d/docker-ce.repo

更新并安装Docker-ce

docker-ce 社区版 , docker-ee企业版, 一般安装社区版,企业版需要授权

#更新并安装Docker-CE  
sudo yum makecache fast
yum install -y docker-ce docker-ce-cli containerd.io

启动安装并查看Docker状态

systemctl start docker && systemctl enable docker && systemctl status docker

配置 docker 镜像加速器和驱动

vi /etc/docker/daemon.json
  • 本文添加了多个镜像加速器,包含阿里镜像加速器、163镜像加速器等加速器

"registry-mirrors":["https://b5b7g6yt.mirror.aliyuncs.com","https://registry.docker-cn.com","https://docker.mirrors.ustc.edu.cn","https://dockerhub.azk8s.cn","http://hub-mirror.c.163.com","http://qtid6917.mirror.aliyuncs.com","https://rncxm540.mirror.aliyuncs.com"],
"exec-opts": ["native.cgroupdriver=systemd"]
  • 阿里云加速器每一个人的都不一样,添加如下

云计算-使用Kubeadm在阿里云搭建单Master多Node的K8S_Kubernetes_11

  • 添加以后重启​​docker​​​和​​daemon-reload​
systemctl daemon-reload && systemctl restart docker && systemctl status docker

k8s安装

安装初始化 k8s 需要的软件包

  • 安装​​kubelet​​​、​​kubeadm​​​、​​kubectl​
yum install -y kubelet-1.20.6 kubeadm-1.20.6 kubectl-1.20.6
  • 将​​kubelet​​​设置为开启自启动以及查看​​kubelet​​状态
systemctl enable kubelet && systemctl status kubelet

云计算-使用Kubeadm在阿里云搭建单Master多Node的K8S_kubeadm_12

现在看起来​​kubelet​​​还不是​​running​​状态,现在这个状态是正常的,k8s正常启动启动以后,状态就正常了

​:

  • ​kubeadm​​​:​​kubeadm​​是一个工具,用于初始化k8s集群
  • ​kubelet​​​:​​kubelet​​​需要安装在集群的所有结点,作用是启动Pod
  • ​kubectl​​​:​​kubectl​​可以部署和管理应用的工具

使用kubeadm初始化k8s集群

这个操作只需要在master节点上操作就可以了​,本次搭建k8s的master内网节点是172.17.75.165

  • --kubernetes-version=1.20.6   表示版本
  • --apiserver-advertise-address=172.17.75.165  表示master节点在阿里云的内网IP
  • --image-repository registry.aliyuncs.com/google_containers   指定镜像仓的地址
kubeadm init --kubernetes-version=1.20.6 --apiserver-advertise-address=172.17.75.165 --image-repository registry.aliyuncs.com/google_containers --pod-network-cidr=10.244.0.0/16 --ignore-preflight-errors=SystemVerification

kubeadm默认拉取镜像的地址是k8s.grc.io,但是在国内访问效果差,所以设置为国内的镜像仓效果会更好。

  • 如下说明在master上安装成功

云计算-使用Kubeadm在阿里云搭建单Master多Node的K8S_tomcat_13

  • 配置kubectl的配置文件config就是上图标出的文件
mkdir -p $HOME/.kube
sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
sudo chown $(id -u):$(id -g) $HOME/.kube/config
  • 配置好以后查看nodes
kubectl get nodes

云计算-使用Kubeadm在阿里云搭建单Master多Node的K8S_Kubernetes_14

  • 使用​​kubeadm token create​​命令生成添加节点的指令
kubeadm token create --print-join-command

生成的指令如下,每次生成可能都会不同

kubeadm join 172.17.75.165:6443 --token vsnwiz.9tdg2hklcmx26gbb --discovery-token-ca-cert-hash sha256:03e79bdddf8a15be78cfefb717275fda128de570bec60a1a332719c94bedc5c6

我们需要将上面的kubeadm join​​指令在kubeadm002和kubeadm003两台机器上运行

  • 再次查看nodes节点
kubectl get nodes

云计算-使用Kubeadm在阿里云搭建单Master多Node的K8S_docker_15

我们发现新添加的node节点的​ROLES​是空的,也表示它是工作节点,但是我们可以将变成work

kubectl label node kubeadm002 node-role.kubernetes.io/worker=worker
kubectl label node kubeadm003 node-role.kubernetes.io/worker=worker

然后再次查看结果变为

[root@kubeadm001 ~]# kubectl get nodes
NAME STATUS ROLES AGE VERSION
kubeadm001 NotReady control-plane,master 14m v1.20.6
kubeadm002 NotReady worker 5m48s v1.20.6
kubeadm003 NotReady worker 5m44s v1.20.6

上面的STSTUS中的NotReady表示没有安装网卡插件

安装k8s网络组件-Calico

链接:https://pan.baidu.com/s/1QMAAh6iL-jbke_lM0dZxBg 提取码:1234 编写一个calico.yaml​​,我将它上传到百度云盘,可以自行下载,也可以到https://docs.projectcalico.org/manifests/calico.yaml进行下载

kubectl apply -f calico.yaml
kubectl apply -f https://docs.projectcalico.org/manifests/calico.yaml

需要等待一会

  • 查看kube-system环境下的集群状态
kubectl get pod -n kube-system

云计算-使用Kubeadm在阿里云搭建单Master多Node的K8S_kubeadm_16

  • 再次查看k8s的集群状态
kubectl get nodes

云计算-使用Kubeadm在阿里云搭建单Master多Node的K8S_docker_17

我们发现现在集群的STATUS的状态变成了​Ready​,说明集群已经正常运行

测试k8s创建pod是否可以正常访问网络

创建一个busybox容器,并进入到容器内部

kubectl run busybox --image busybox:1.28 --restart=Never --rm -it busybox -- sh

然后在里面输入​​ping www.baidu.com​

云计算-使用Kubeadm在阿里云搭建单Master多Node的K8S_Kubernetes_18

通过ping我们发现网络可以访问,说明Calico安装正常

测试coredns是否正常

还是上面的busybos容器,输入以下命令

nslookup kubernetes.default.svc.cluster.local

结果为以下,10.96.0.10就是我们coreDNS的clusterIP,说明coredns正常

Server:    10.96.0.10
Address 1: 10.96.0.10 kube-dns.kube-system.svc.cluster.local

Name: kubernetes.default.svc.cluster.local
Address 1: 10.96.0.1 kubernetes.default.svc.cluster.local

k8s集群中安装tomcat服务

  • 创建一个​​tomcat.yaml​
vi tomcat.yaml
apiVersion: v1  #pod属于k8s核心组v1
kind: Pod #创建的是一个Pod资源
metadata: #元数据
name: tomcat-pod #pod名字
namespace: default #pod所属的名称空间
labels:
app: myapp #pod具有的标签
env: dev #pod具有的标签
spec:
containers: #定义一个容器,容器是对象列表,下面可以有多个name
- name: tomcat-pod-test #容器的名字
ports:
- containerPort: 8080
image: tomcat:8.5-jre8-alpine #容器使用的镜像
imagePullPolicy: IfNotPresent
  • 使用kubect部署tomcat
kubectl apply -f tomcat.yaml
  • 查看pods
[root@kubeadm001 ~]# kubectl get pods

NAME READY STATUS RESTARTS AGE
tomcat-pod 1/1 Running 0 58s
  • 创建tomcat的Service,​​tomcat-service.yaml​
vi tomcat-service.yaml

内容如下

apiVersion: v1
kind: Service
metadata:
name: tomcat
spec:
type: NodePort
ports:
- port: 8080
nodePort: 30080
selector:
app: myapp
env: dev
  • 运行tomcat的​​service​
kubectl apply -f tomcat-service.yaml
  • 查看service的状态
kubectl get svc

云计算-使用Kubeadm在阿里云搭建单Master多Node的K8S_tomcat_19

在浏览器中http://8.134.58.124:30080/ (8.134.58.124表示master节点)

云计算-使用Kubeadm在阿里云搭建单Master多Node的K8S_k8s_20

安装k8s可视化UI界面dashboard

  • 创建kubernetes-dashboard.yaml文件
# Copyright 2017 The Kubernetes Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

apiVersion: v1
kind: Namespace
metadata:
name: kubernetes-dashboard

---

apiVersion: v1
kind: ServiceAccount
metadata:
labels:
k8s-app: kubernetes-dashboard
name: kubernetes-dashboard
namespace: kubernetes-dashboard

---

kind: Service
apiVersion: v1
metadata:
labels:
k8s-app: kubernetes-dashboard
name: kubernetes-dashboard
namespace: kubernetes-dashboard
spec:
ports:
- port: 443
targetPort: 8443
selector:
k8s-app: kubernetes-dashboard

---

apiVersion: v1
kind: Secret
metadata:
labels:
k8s-app: kubernetes-dashboard
name: kubernetes-dashboard-certs
namespace: kubernetes-dashboard
type: Opaque

---

apiVersion: v1
kind: Secret
metadata:
labels:
k8s-app: kubernetes-dashboard
name: kubernetes-dashboard-csrf
namespace: kubernetes-dashboard
type: Opaque
data:
csrf: ""

---

apiVersion: v1
kind: Secret
metadata:
labels:
k8s-app: kubernetes-dashboard
name: kubernetes-dashboard-key-holder
namespace: kubernetes-dashboard
type: Opaque

---

kind: ConfigMap
apiVersion: v1
metadata:
labels:
k8s-app: kubernetes-dashboard
name: kubernetes-dashboard-settings
namespace: kubernetes-dashboard

---

kind: Role
apiVersion: rbac.authorization.k8s.io/v1
metadata:
labels:
k8s-app: kubernetes-dashboard
name: kubernetes-dashboard
namespace: kubernetes-dashboard
rules:
# Allow Dashboard to get, update and delete Dashboard exclusive secrets.
- apiGroups: [""]
resources: ["secrets"]
resourceNames: ["kubernetes-dashboard-key-holder", "kubernetes-dashboard-certs", "kubernetes-dashboard-csrf"]
verbs: ["get", "update", "delete"]
# Allow Dashboard to get and update kubernetes-dashboard-settings config map.
- apiGroups: [""]
resources: ["configmaps"]
resourceNames: ["kubernetes-dashboard-settings"]
verbs: ["get", "update"]
# Allow Dashboard to get metrics.
- apiGroups: [""]
resources: ["services"]
resourceNames: ["heapster", "dashboard-metrics-scraper"]
verbs: ["proxy"]
- apiGroups: [""]
resources: ["services/proxy"]
resourceNames: ["heapster", "http:heapster:", "https:heapster:", "dashboard-metrics-scraper", "http:dashboard-metrics-scraper"]
verbs: ["get"]

---

kind: ClusterRole
apiVersion: rbac.authorization.k8s.io/v1
metadata:
labels:
k8s-app: kubernetes-dashboard
name: kubernetes-dashboard
rules:
# Allow Metrics Scraper to get metrics from the Metrics server
- apiGroups: ["metrics.k8s.io"]
resources: ["pods", "nodes"]
verbs: ["get", "list", "watch"]

---

apiVersion: rbac.authorization.k8s.io/v1
kind: RoleBinding
metadata:
labels:
k8s-app: kubernetes-dashboard
name: kubernetes-dashboard
namespace: kubernetes-dashboard
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: Role
name: kubernetes-dashboard
subjects:
- kind: ServiceAccount
name: kubernetes-dashboard
namespace: kubernetes-dashboard

---

apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
name: kubernetes-dashboard
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: ClusterRole
name: kubernetes-dashboard
subjects:
- kind: ServiceAccount
name: kubernetes-dashboard
namespace: kubernetes-dashboard

---

kind: Deployment
apiVersion: apps/v1
metadata:
labels:
k8s-app: kubernetes-dashboard
name: kubernetes-dashboard
namespace: kubernetes-dashboard
spec:
replicas: 1
revisionHistoryLimit: 10
selector:
matchLabels:
k8s-app: kubernetes-dashboard
template:
metadata:
labels:
k8s-app: kubernetes-dashboard
spec:
containers:
- name: kubernetes-dashboard
image: kubernetesui/dashboard:v2.0.0-beta8
imagePullPolicy: IfNotPresent
ports:
- containerPort: 8443
protocol: TCP
args:
- --auto-generate-certificates
- --namespace=kubernetes-dashboard
# Uncomment the following line to manually specify Kubernetes API server Host
# If not specified, Dashboard will attempt to auto discover the API server and connect
# to it. Uncomment only if the default does not work.
# - --apiserver-host=http://my-address:port
volumeMounts:
- name: kubernetes-dashboard-certs
mountPath: /certs
# Create on-disk volume to store exec logs
- mountPath: /tmp
name: tmp-volume
livenessProbe:
httpGet:
scheme: HTTPS
path: /
port: 8443
initialDelaySeconds: 30
timeoutSeconds: 30
securityContext:
allowPrivilegeEscalation: false
readOnlyRootFilesystem: true
runAsUser: 1001
runAsGroup: 2001
volumes:
- name: kubernetes-dashboard-certs
secret:
secretName: kubernetes-dashboard-certs
- name: tmp-volume
emptyDir:
serviceAccountName: kubernetes-dashboard
nodeSelector:
"beta.kubernetes.io/os": linux
# Comment the following tolerations if Dashboard must not be deployed on master
tolerations:
- key: node-role.kubernetes.io/master
effect: NoSchedule

---

kind: Service
apiVersion: v1
metadata:
labels:
k8s-app: dashboard-metrics-scraper
name: dashboard-metrics-scraper
namespace: kubernetes-dashboard
spec:
ports:
- port: 8000
targetPort: 8000
selector:
k8s-app: dashboard-metrics-scraper

---

kind: Deployment
apiVersion: apps/v1
metadata:
labels:
k8s-app: dashboard-metrics-scraper
name: dashboard-metrics-scraper
namespace: kubernetes-dashboard
spec:
replicas: 1
revisionHistoryLimit: 10
selector:
matchLabels:
k8s-app: dashboard-metrics-scraper
template:
metadata:
labels:
k8s-app: dashboard-metrics-scraper
annotations:
seccomp.security.alpha.kubernetes.io/pod: runtime/default
spec:
containers:
- name: dashboard-metrics-scraper
image: kubernetesui/metrics-scraper:v1.0.1
imagePullPolicy: IfNotPresent
ports:
- containerPort: 8000
protocol: TCP
livenessProbe:
httpGet:
scheme: HTTP
path: /
port: 8000
initialDelaySeconds: 30
timeoutSeconds: 30
volumeMounts:
- mountPath: /tmp
name: tmp-volume
securityContext:
allowPrivilegeEscalation: false
readOnlyRootFilesystem: true
runAsUser: 1001
runAsGroup: 2001
serviceAccountName: kubernetes-dashboard
nodeSelector:
"beta.kubernetes.io/os": linux
# Comment the following tolerations if Dashboard must not be deployed on master
tolerations:
- key: node-role.kubernetes.io/master
effect: NoSchedule
volumes:
- name: tmp-volume
emptyDir:
  • 安装 kubernetes-dashboard
kubectl apply -f kubernetes-dashboard.yaml
  • 查看dashboard的pod状态(需要等待一点时间)
kubectl get pods -n kubernetes-dashboard

查看结果为如下,说明安装成功

NAME                                         READY   STATUS    RESTARTS   AGE
dashboard-metrics-scraper-778b77d469-r6cwm 1/1 Running 0 2m
kubernetes-dashboard-648b6964bf-gnbw4 1/1 Running 0 2m
  • 查看dashboard的前端service
kubectl get svc -n kubernetes-dashboard

结果为

NAME                        TYPE        CLUSTER-IP     EXTERNAL-IP   PORT(S)    AGE
dashboard-metrics-scraper ClusterIP 10.97.73.249 <none> 8000/TCP 2m57s
kubernetes-dashboard ClusterIP 10.106.69.73 <none> 443/TCP 2m57s

我们发现kubernetes-dashboard的TYPE状态ClusterIP,我们需要将其修改为​NodePort​状态,

kubectl edit svc kubernetes-dashboard -n kubernetes-dashboard

云计算-使用Kubeadm在阿里云搭建单Master多Node的K8S_k8s_21

  • 再次查看 kubernetes-dashboard的svc
[root@kubeadm001 ~]# kubectl get svc -n kubernetes-dashboard
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
dashboard-metrics-scraper ClusterIP 10.97.73.249 <none> 8000/TCP 7m31s
kubernetes-dashboard NodePort 10.106.69.73 <none> 443:31284/TCP 7m31s

查看到端口是31284,然后使用任何一个node:31284进行查看

云计算-使用Kubeadm在阿里云搭建单Master多Node的K8S_Kubernetes_22

可看到出现了dashboard界面

云计算-使用Kubeadm在阿里云搭建单Master多Node的K8S_tomcat_23

通过token令牌访问dashboard

  • 创建管理员token,具有查看任何空间的权限,可以管理所有资源对象
kubectl create clusterrolebinding dashboard-cluster-admin --clusterrole=cluster-admin --serviceaccount=kubernetes-dashboard:kubernetes-dashboard
  • 查看kubernetes-dashboard名称空间下的secret
kubectl get secret -n kubernetes-dashboard

云计算-使用Kubeadm在阿里云搭建单Master多Node的K8S_kubeadm_24

找到对应的带有oken的kubernetes-dashboard-token-66r22 ,​每次kubernetes-dashboard-token的name不同

kubectl describe secret kubernetes-dashboard-token-9mwrn  -n kubernetes-dashboard

云计算-使用Kubeadm在阿里云搭建单Master多Node的K8S_k8s_25

云计算-使用Kubeadm在阿里云搭建单Master多Node的K8S_tomcat_26


云计算-使用Kubeadm在阿里云搭建单Master多Node的K8S_kubeadm_27

通过 kubernetes-dashboard 创建容器

打开 kubernetes 的 dashboard 界面点开右上角红色箭头标注的 “+”,如下图所示:

云计算-使用Kubeadm在阿里云搭建单Master多Node的K8S_docker_28

选择Create from form

云计算-使用Kubeadm在阿里云搭建单Master多Node的K8S_Kubernetes_29

在dashboard的左侧选择Services

云计算-使用Kubeadm在阿里云搭建单Master多Node的K8S_Kubernetes_30

上图可看到刚才创建的nginx的service在宿主机映射的端口是32545,在浏览器访问:http://8.134.74.86:32545/

云计算-使用Kubeadm在阿里云搭建单Master多Node的K8S_docker_31

错误解决:​可能会出现dashboard打不开的情况,在谷歌浏览器,点击属性,在尾部添加--disable-infobars --ignore-certificate-errors

云计算-使用Kubeadm在阿里云搭建单Master多Node的K8S_k8s_32


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