当前位置： 首页 > news >正文

云原生边缘计算KubeEdge安装配置（二）

news 2025/7/18 6:31:34

1. K8S集群部署，可以参考如下博客

请安装k8s集群，centos安装k8s集群
请安装k8s集群，ubuntu安装k8s集群

请安装kubeedge cloudcore　centos安装K8S

2.安装kubEedge

2.1 编辑kube-proxy使用ipvs代理

kubectl edit configmaps kube-proxy -n kube-system #修改kube-proxy

#大约在40多行37     ipvs:38       excludeCIDRs: null39       minSyncPeriod: 0s40       scheduler: ""41       strictARP: true  #这里由原来的false修改为true42       syncPeriod: 0s43       tcpFinTimeout: 0s44       tcpTimeout: 0s45       udpTimeout: 0s46     kind: KubeProxyConfiguration47     metricsBindAddress: ""48     mode: "ipvs"  #这里原来是空的修改为ipvs49     nodePortAddresses: null50     oomScoreAdj: null51     portRange: ""52     showHiddenMetricsForVersion: ""53     winkernel:54       enableDSR: false55       forwardHealthCheckVip: false56       networkName: ""57       rootHnsEndpointName: ""58       sourceVip: ""
kubectl rollout restart daemonset kube-proxy -n kube-system
kubectl get pods -n kube-system

2.2 基础服务提供，负载均衡器metallb

#无网络情况下，先上传kubeedge.tar 和 metallb-native.yaml文件
docker load -i kubeedge.tar  #导入镜像#有网络可以直接拉去镜像
docker pull quay.io/metallb/controller:v0.13.5
docker pull quay.io/metallb/speaker:v0.13.5
wget https://raw.githubusercontent.com/metallb/metallb/v0.13.5/config/manifests/metallb-native.yaml

kubectl apply -f metallb-native.yaml
kubectl get pods -n metallb-system

[root@k8s-master01 ~]# kubectl get pods -n metallb-system
NAME                         READY   STATUS    RESTARTS   AGE
controller-8d9cf599f-m4x27   1/1     Running   0          23s
speaker-zm7w4                1/1     Running   0          23s
speaker-zww5l                1/1     Running   0          23s
[root@k8s-master01 ~]#

#具体参考官网地址：https://metallb.universe.tf/configuration/#layer-2-configuration

#创建IP地址资源池，原则是跟主机在同一个网段，没有使用的地址，根据自己项目的规模我合理预留了21个IP
cat > first-ippool.yaml << EOF
apiVersion: metallb.io/v1beta1
kind: IPAddressPool
metadata:name: first-poolnamespace: metallb-system
spec:addresses:- 192.168.186.200-192.168.186.220
EOF

kubectl apply -f first-ippool.yaml
kubectl get ipaddresspools -n metallb-system

[root@k8s-master01 ~]# kubectl get ipaddresspools -n metallb-system
NAME         AGE
first-pool   2m1s
[root@k8s-master01 ~]# 

#开启二层转发，实现k8s集群节点外访问
cat > l2forward.yaml << EOF
apiVersion: metallb.io/v1beta1
kind: L2Advertisement
metadata:name: examplenamespace: metallb-system
EOFkubectl apply -f l2forward.yaml

#二层转发案例测试
cat > nginx.yaml << EOF
apiVersion: apps/v1
kind: Deployment
metadata:name: nginx
spec:replicas: 1selector:matchLabels:app: nginxtemplate:metadata:labels:app: nginxspec:containers:- image: nginxname: nginximagePullPolicy: IfNotPresent
---
apiVersion: v1
kind: Service
metadata:name: nginx-svc
spec:type: LoadBalancerports:- port: 80targetPort: 80selector:app: nginx
EOFkubectl apply -f nginx.yaml

[root@k8s-master01 ~]# kubectl get pods,svc #svc的ip从地址池中分配的
NAME                         READY   STATUS    RESTARTS   AGE
pod/nginx-5f5c64f949-bhpvf   1/1     Running   0          50sNAME                 TYPE           CLUSTER-IP     EXTERNAL-IP       PORT(S)        AGE
service/kubernetes   ClusterIP      10.96.0.1      <none>            443/TCP        5h43m
service/nginx-svc    LoadBalancer   10.99.41.146   192.168.186.200   80:30293/TCP   50s
[root@k8s-master01 ~]#

测试通过

kubectl delete -f nginx.yaml  #删除无用的pod和svc

3. 对于kubeEdge概述

KubeEdge由云和边缘组成。它建立在Kubernetes之上，为联网应用部署和云与边缘之间的元数据同步提供核心基础设施支持。所以如果我们想要设置KubeEdge，我们需要设置Kubernetes集群(可以使用现有的集群)，云端和边缘端在cloud side, 我们需要安装

Docker
Kubernetes cluster
cloudcore

在 edge side, 我们需要安装

Docker
MQTT （配置可以选用，不是一定需要）
edgecore

在这里插入图片描述

3.部署kubeedge cloudcore

3.1 获取keadm工具

wget https://github.com/kubeedge/kubeedge/releases/download/v1.10.1/keadm-v1.12.1-linux-amd64.tar.gztar -zxvf keadm-v1.12.1-linux-amd64.tar.gz
cp keadm-v1.12.1-linux-amd64/keadm/keadm  /usr/local/bin/
keadm version

3.2 部署cloudcore

#在master上部署
#设置云端  使用keadm初始化，安装cloudcore
docker pull kubeedge/cloudcore:v1.14.2  
docker pull  kubeedge/iptables-manager:v1.14.2keadm init --advertise-address=192.168.110.100 --kubeedge-version=1.12.1   #这是master的ip，互联网用这种形式keadm init --advertise-address=192.168.186.200 --set iptablesManager.mode="external" --profile version=v1.12.1 #这里的IP是负载均衡器metallb分配的IP#以上参数分别为master节点地址和要安装的KubeEdge版本。#keadm reset  #安装错误可以重置
keadm gettoken  #获取token

[root@k8s-master01 ~]# keadm init --advertise-address=192.168.186.200 --set iptablesManager.mode="external" --profile version=v1.14.2
Kubernetes version verification passed, KubeEdge installation will start...
CLOUDCORE started
=========CHART DETAILS=======
NAME: cloudcore
LAST DEPLOYED: Mon Oct  9 15:25:36 2023
NAMESPACE: kubeedge
STATUS: deployed
REVISION: 1
[root@k8s-master ~]# keadm gettoken
3b917d79963d290608f00b2c567808bbf37f99379efdb4a2848ddd2d2713cb52.eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJleHAiOjE2OTY5NDc2NTl9.1DQ6GwR687bpyR_8q-Xf2HwFfLeUdZ2oqYrYkEyNEEo[root@k8s-master ~]# 
[root@k8s-master01 ~]# kubectl get ns
NAME                   STATUS   AGE
default                Active   58d
kube-node-lease        Active   58d
kube-public            Active   58d
kube-system            Active   58d
kubeedge               Active   8m44s  #在这个空间中中
kubernetes-dashboard   Active   58d
metallb-system         Active   57d
[root@k8s-master ~]# kubectl get pods,svc -n kubeedge
NAME                               READY   STATUS    RESTARTS   AGE
pod/cloud-iptables-manager-8kh6q   1/1     Running   0          109m
pod/cloudcore-5876c76687-tkkzx     1/1     Running   0          109mNAME                TYPE        CLUSTER-IP       EXTERNAL-IP   PORT(S)                                             AGE
service/cloudcore   ClusterIP   10.101.140.171   <none>        10000/TCP,10001/TCP,10002/TCP,10003/TCP,10004/TCP   109m
[root@k8s-master ~]# 

kubectl edit svc cloudcore -n kubeedge #修改大概在51行 49   selector:50     k8s-app: kubeedge51     kubeedge: cloudcore52   sessionAffinity: None53   type: LoadBalancer  #修改后的54 status:55   loadBalancer: {}
[root@k8s-master ~]# kubectl get pods,svc -n kubeedge
NAME                               READY   STATUS    RESTARTS   AGE
pod/cloud-iptables-manager-8kh6q   1/1     Running   0          110m
pod/cloudcore-5876c76687-tkkzx     1/1     Running   0          110mNAME                TYPE           CLUSTER-IP       EXTERNAL-IP       PORT(S)                                                                           AGE
service/cloudcore   LoadBalancer   10.101.140.171   192.168.186.200   10000:31953/TCP,10001:32329/TCP,10002:31154/TCP,10003:30807/TCP,10004:31038/TCP   110m
[root@k8s-master ~]# 
[root@k8s-master kubernetes]# kubectl get pods -n kube-system -o wide #metrics-server不正常
NAME                                       READY   STATUS    RESTARTS   AGE     IP                NODE         NOMINATED NODE   READINESS GATES
calico-kube-controllers-67bb5696f5-sfhs6   1/1     Running   0          4h3m    10.244.235.195    k8s-master   <none>           <none>
calico-node-2w8jn                          1/1     Running   0          4h3m    192.168.186.128   k8s-master   <none>           <none>
calico-node-vt8g4                          1/1     Running   0          4h3m    192.168.186.129   k8s-node1    <none>           <none>
coredns-7f6cbbb7b8-q8z29                   1/1     Running   0          4h5m    10.244.235.193    k8s-master   <none>           <none>
coredns-7f6cbbb7b8-qc8d2                   1/1     Running   0          4h5m    10.244.235.194    k8s-master   <none>           <none>
etcd-k8s-master                            1/1     Running   0          4h5m    192.168.186.128   k8s-master   <none>           <none>
kube-apiserver-k8s-master                  1/1     Running   0          4h5m    192.168.186.128   k8s-master   <none>           <none>
kube-controller-manager-k8s-master         1/1     Running   0          4h5m    192.168.186.128   k8s-master   <none>           <none>
kube-proxy-2vt4s                           1/1     Running   0          3h52m   192.168.186.129   k8s-node1    <none>           <none>
kube-proxy-99x2t                           1/1     Running   0          3h52m   192.168.186.128   k8s-master   <none>           <none>
kube-scheduler-k8s-master                  1/1     Running   0          4h5m    192.168.186.128   k8s-master   <none>           <none>
metrics-server-5f85c44dcd-kpnpk            1/1     Running   0          4m4s    10.244.36.85      k8s-node1    <none>           <none>    #如果状态和READY不正确，就执行如下的语句
[root@k8s-master kubernetes]# 

kubectl patch deploy metrics-server -n kube-system --type='json' -p='[{"op":"add","path":"/spec/template/spec/containers/0/args/-","value":"--kubelet-insecure-tls"}]'  #修改为不认证

4. 部署edgecore（边缘节点）

[root@k8s-master ~]# kubectl get nodes
NAME         STATUS   ROLES                  AGE     VERSION
k8s-master   Ready    control-plane,master   4h12m   v1.22.6
k8s-node1    Ready    <none>                 4h9m    v1.22.6
[root@k8s-master ~]#

４.1 获取keadm工具

#注意边缘节点配置都很低，只需要运行业务容器
#边缘节点只需要安装docker就可以了
hostnamectl set-hostname edge－node1  && bashwget https://github.com/kubeedge/kubeedge/releases/download/v1.10.1/keadm-v1.12.1-linux-amd64.tar.gztar -zxvf keadm-v1.12.1-linux-amd64.tar.gz
cp keadm-v1.12.1-linux-amd64/keadm/keadm  /usr/local/bin/
keadm version

TOKEN=3b917d79963d290608f00b2c567808bbf37f99379efdb4a2848ddd2d2713cb52.eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJleHAiOjE2OTY5NDc2NTl9.1DQ6GwR687bpyR_8q-Xf2HwFfLeUdZ2oqYrYkEyNEEo  #这串数字是在cloudcore执行keadm gettoken获取的SERVER=192.168.186.200:10000
keadm join --token=$TOKEN --cloudcore-ipport=$SERVER --kubeedge-version=1.12.1＃如果添加失败了，请在ｅｄｇｅｃｏｒｅ中执行
＃docker rm -f mqtt   && rm -fr /etc/kubeedge/
＃keadm join --token=$TOKEN --cloudcore-ipport=$SERVER --kubeedge-version=1.12.1
[root@edgenode1 ~]# TOKEN=3b917d79963d290608f00b2c567808bbf37f99379efdb4a2848ddd2d2713cb52.eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJleHAiOjE2OTY5NDc2NTl9.1DQ6GwR687bpyR_8q-Xf2HwFfLeUdZ2oqYrYkEyNEEo
[root@edgenode1 ~]# SERVER=192.168.186.200:10000
[root@edgenode1 ~]# keadm join --token=$TOKEN --cloudcore-ipport=$SERVER --kubeedge-version=1.12.1
I1009 13:40:18.319594    2217 command.go:845] 1. Check KubeEdge edgecore process status
I1009 13:40:18.480783    2217 command.go:845] 2. Check if the management directory is clean
I1009 13:40:18.480907    2217 join.go:100] 3. Create the necessary directories
I1009 13:40:18.484206    2217 join.go:176] 4. Pull Images
Pulling kubeedge/installation-package:v1.12.1 ...
Successfully pulled kubeedge/installation-package:v1.12.1
Pulling eclipse-mosquitto:1.6.15 ...
Successfully pulled eclipse-mosquitto:1.6.15
Pulling kubeedge/pause:3.1 ...
Successfully pulled kubeedge/pause:3.1
I1009 13:42:56.611776    2217 join.go:176] 5. Copy resources from the image to the management directory
I1009 13:42:59.996519    2217 join.go:176] 6. Start the default mqtt service
I1009 13:43:02.033426    2217 join.go:100] 7. Generate systemd service file
I1009 13:43:02.034038    2217 join.go:100] 8. Generate EdgeCore default configuration
I1009 13:43:02.034469    2217 join.go:230] The configuration does not exist or the parsing fails, and the default configuration is generated
W1009 13:43:02.051996    2217 validation.go:71] NodeIP is empty , use default ip which can connect to cloud.
I1009 13:43:02.055240    2217 join.go:100] 9. Run EdgeCore daemon
I1009 13:43:02.733562    2217 join.go:317] 
I1009 13:43:02.733581    2217 join.go:318] KubeEdge edgecore is running, For logs visit: journalctl -u edgecore.service -xe
[root@edgenode1 ~]#
http://www.lryc.cn/news/186917.html

相关文章：

  • SQL多表设计--一对多(外键)
  • Stm32_标准库_9_TIM
  • 283. 移动零
  • 用 HTTP 提交数据，基本就这 5 种方式
  • 基于matlab统计Excel文件一列数据中每个数字出现的频次和频率
  • 近期分享学习心得3
  • 前端uniapp如何修改下拉框uni-data-select下面的uni-icons插件自带的图片【修改uniapp自带源码图片/图标】
  • 【计算机基础】Git系列3：常用操作
  • 有哪些值得推荐的Java 练手项目？
  • 【Godot】时间线（技能）节点
  • 每日练习-9
  • 微信小程序 -- 页面间通信
  • 关于Jupyter markdown的使用
  • 【C语言】字符函数和内存操作函数
  • SpringBoot大文件上传实现分片、断点续传
  • React 注意事项
  • 常见排序算法Java版（待续）
  • Jmeter 多实例压测
  • 线程安全问题 --- 内存可见性问题
  • 消息队列 Kafka
  • 抽象轻松的java-mybatis简单入门
  • 012-第二代硬件选型
  • Spring中的设计模式
  • 软考 系统架构设计师系列知识点之软件质量属性（1）
  • GPT系列论文解读：GPT-1
  • 数学分析：含参变量的积分
  • 关于一篇ElementUI之CUD+表单验证
  • VUE模板编译的实现原理
  • 基础算法之——【动态规划之路径问题】1
  • 三十三、【进阶】索引的分类