在线云原生边缘计算KubeEdge安装配置（二）

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: null
     39       minSyncPeriod: 0s
     40       scheduler: ""
     41       strictARP: true  #这里由原来的false修改为true
     42       syncPeriod: 0s
     43       tcpFinTimeout: 0s
     44       tcpTimeout: 0s
     45       udpTimeout: 0s
     46     kind: KubeProxyConfiguration
     47     metricsBindAddress: ""
     48     mode: "ipvs"  #这里原来是空的修改为ipvs
     49     nodePortAddresses: null
     50     oomScoreAdj: null
     51     portRange: ""
     52     showHiddenMetricsForVersion: ""
     53     winkernel:
     54       enableDSR: false
     55       forwardHealthCheckVip: false
     56       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-pool
  namespace: 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: example
  namespace: metallb-system
EOF

kubectl apply -f l2forward.yaml
kubectl get l2advertisements -n metallb-system

#二层转发案例测试
cat > nginx.yaml << EOF
apiVersion: apps/v1
kind: Deployment
metadata:
  name: nginx
spec:
  replicas: 1
  selector:
    matchLabels:
      app: nginx
  template:
    metadata:
      labels:
        app: nginx
    spec:
      containers:
      - image: nginx
        name: nginx
        imagePullPolicy: IfNotPresent
---
apiVersion: v1
kind: Service
metadata:
  name: nginx-svc
spec:
  type: LoadBalancer
  ports:
  - port: 80
    targetPort: 80
  selector:
    app: nginx
EOF

kubectl apply -f nginx.yaml

[root@k8s-master01 ~]# kubectl get pods,svc #svc的ip从地址池中分配的,如果是云服务器则是公网IP,公网必须带端口访问
NAME                         READY   STATUS    RESTARTS   AGE
pod/nginx-5f5c64f949-bhpvf   1/1     Running   0          50s

NAME                 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

yum install iptables-services -y #安装iptables后期有用
systemctl start  iptables.service
systemctl enable  iptables.service
systemctl status  iptables.service

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

文章来源地址https://www.toymoban.com/news/detail-728070.html

3.部署kubeedge cloudcore(主节点)

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.gz

tar -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:v1.14.2

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，如果是云服务器则用公网

#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-ke-cloud docker]# kubectl get deployment -n kubeedge #上述多此执行后依然不行
NAME        READY   UP-TO-DATE   AVAILABLE   AGE    CONTAINERS   IMAGES                       SELECTOR
cloudcore   0/1     1            0           7m2s   cloudcore    kubeedge/cloudcore:v1.12.1   k8s-app=kubeedge,kubeedge=cloudcore
[root@k8s-ke-cloud docker]# kubectl delete  deployment -n kubeedge  #删除这个deployment
error: resource(s) were provided, but no name was specified
[root@k8s-ke-cloud docker]# kubectl delete  deployment  cloudcore -n kubeedge 
deployment.apps "cloudcore" deleted
[root@k8s-ke-cloud docker]# 

[root@k8s-master01 ~]# keadm init --advertise-address=192.168.186.200 --set iptablesManager.mode="external" --profile version=v1.12.1
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
7da3a4434a154f267a7ba42727a0f038bbca5ae0d8c7adc739bc32591574b818.eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJleHAiOjE2OTY5OTAxNjd9.htL9plVcKIgVdGuRdb4cp2gviQVol_Jiwa_RNE3ieVI[root@k8s-master ~]# 

kubectl get pods -n kubeedge
kubectl get svc -n kubeedge
kubectl get deployment -n kubeedge

[root@k8s-master ~]#kubectl get pods  -n kubeedge
NAME                           READY   STATUS             RESTARTS      AGE
cloud-iptables-manager-rpxm8   1/1     Running            0             7m37s
cloudcore-5876c76687-ff9zv     1/1     Running            0     7m37s
[root@k8s-master ~]# kubectl get svc   -n kubeedge
NAME        TYPE        CLUSTER-IP       EXTERNAL-IP   PORT(S)                                             AGE
cloudcore   ClusterIP   10.109.201.171   <none>        10000/TCP,10001/TCP,10002/TCP,10003/TCP,10004/TCP   7m40s
[root@k8s-master ~]# kubectl get deployment    -n kubeedge
NAME        READY   UP-TO-DATE   AVAILABLE   AGE
cloudcore   1/1     1            0           7m43s
[root@ecs-2ef1-0001 kubeedge]# 

[root@cloudcorer ~]# 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@cloudcorer ~]# 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          109m

NAME                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@cloudcorer ~]# 

kubectl edit svc cloudcore -n kubeedge #修改大概在51行 
     49   selector:
     50     k8s-app: kubeedge
     51     kubeedge: cloudcore
     52   sessionAffinity: None
     53   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          110m

NAME                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 ~]# 

kubectl apply -f metrics-server.yaml  #安装metrics-server

[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"}]'  #metrics-server容器不正常情况下，才修改为不认证，正常就不要执行这句

#修改 kube-proxy 和 kube-flannel 的节点亲和性，不调度到边缘节点
kubectl patch daemonset kube-proxy -n kube-system -p '{"spec": {"template": {"spec": {"affinity": {"nodeAffinity": {"requiredDuringSchedulingIgnoredDuringExecution": {"nodeSelectorTerms": [{"matchExpressions": [{"key": "node-role.kubernetes.io/edge", "operator": "DoesNotExist"}]}]}}}}}}}'

kubectl patch daemonset kube-flannel-ds -n kube-flannel -p '{"spec": {"template": {"spec": {"affinity": {"nodeAffinity": {"requiredDuringSchedulingIgnoredDuringExecution": {"nodeSelectorTerms": [{"matchExpressions": [{"key": "node-role.kubernetes.io/edge", "operator": "DoesNotExist"}]}]}}}}}}}'

kubectl get daemonset -n kube-system | grep -v NAME | awk '{print $1}' | xargs -n 1 kubectl patch daemonset -n kube-system --type='json' -p='[{"op": "replace", "path": "/spec/template/spec/affinity", "value":{"nodeAffinity":{"requiredDuringSchedulingIgnoredDuringExecution":{"nodeSelectorTerms":[{"matchExpressions":[{"key":"node-role.kubernetes.io/edge","operator":"DoesNotExist"}]}]}}}}]'

kubectl get daemonset -n metallb-system | grep -v NAME | awk '{print $1}' | xargs -n 1 kubectl patch daemonset -n metallb-system --type='json' -p='[{"op": "replace", "path": "/spec/template/spec/affinity", "value":{"nodeAffinity":{"requiredDuringSchedulingIgnoredDuringExecution":{"nodeSelectorTerms":[{"matchExpressions":[{"key":"node-role.kubernetes.io/edge","operator":"DoesNotExist"}]}]}}}}]'

kubectl get daemonset -n calico-system | grep -v NAME | awk '{print $1}' | xargs -n 1 kubectl patch daemonset -n calico-system --type='json' -p='[{"op": "replace", "path": "/spec/template/spec/affinity", "value":{"nodeAffinity":{"requiredDuringSchedulingIgnoredDuringExecution":{"nodeSelectorTerms":[{"matchExpressions":[{"key":"node-role.kubernetes.io/edge","operator":"DoesNotExist"}]}]}}}}]'

至此cloudcore部署完毕

以下是边缘节点的部署方式

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  && bash

wget https://github.com/kubeedge/kubeedge/releases/download/v1.10.1/keadm-v1.12.1-linux-amd64.tar.gz

tar -zxvf keadm-v1.12.1-linux-amd64.tar.gz
cp keadm-v1.12.1-linux-amd64/keadm/keadm  /usr/local/bin/
keadm version

#提前拉去镜像
docker pull kubeedge/installation-package:v1.12.1
docker pull kubeedge/pause:3.1
docker pull eclipse-mosquitto:1.6.15

# 在云节点获取 token
keadm gettoken

# 使用 token 将边缘节点加入集群
keadm join --cloudcore-ipport=192.168.186.200:10000 --token=23bacb0d0fee0b137f821d7f6b100039dee72b198aef159ad7aca5c63f2ad778.eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJleHAiOjE2OTcwNDA5ODF9.siZ4CuljbcNtCmOwgOGS9ZGc8FNIejKQh3q0feiRCI4 --kubeedge-version=v1.12.1 --cgroupdriver systemd

＃如果添加失败了，请在edgecoe中执行
＃docker rm -f mqtt   && rm -fr /etc/kubeedge/
＃keadm join --token=$TOKEN --cloudcore-ipport=$SERVER --kubeedge-version=1.12.1

[root@edge-node1 ~]# keadm join --cloudcore-ipport=192.168.186.200:10000 --token=23bacb0d0fee0b137f821d7f6b100039dee72b198aef159ad7aca5c63f2ad778.eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJleHAiOjE2OTcwNDA5ODF9.siZ4CuljbcNtCmOwgOGS9ZGc8FNIejKQh3q0feiRCI4 --kubeedge-version=v1.12.1 --cgroupdriver systemd
I0526 22:43:35.338932   19494 command.go:845] 1. Check KubeEdge edgecore process status
I0526 22:43:35.508735   19494 command.go:845] 2. Check if the management directory is clean
I0526 22:43:35.509314   19494 join.go:100] 3. Create the necessary directories
I0526 22:43:35.516006   19494 join.go:176] 4. Pull Images
Pulling kubeedge/installation-package:v1.12.1 ...
Pulling eclipse-mosquitto:1.6.15 ...
Pulling kubeedge/pause:3.1 ...
I0526 22:43:35.521861   19494 join.go:176] 5. Copy resources from the image to the management directory
I0526 22:43:36.445496   19494 join.go:176] 6. Start the default mqtt service
I0526 22:43:37.119023   19494 join.go:100] 7. Generate systemd service file
I0526 22:43:37.120245   19494 join.go:100] 8. Generate EdgeCore default configuration
I0526 22:43:37.120309   19494 join.go:230] The configuration does not exist or the parsing fails, and the default configuration is generated
W0526 22:43:37.232157   19494 validation.go:71] NodeIP is empty , use default ip which can connect to cloud.
I0526 22:43:37.243148   19494 join.go:100] 9. Run EdgeCore daemon
I0526 22:43:37.824194   19494 join.go:317] 
I0526 22:43:37.824216   19494 join.go:318] KubeEdge edgecore is running, For logs visit: journalctl -u edgecore.service -xe
[root@edge-node1 ~]# 

journalctl -u edgecore -n 50   #edge端查看日志

iptables -t nat -A OUTPUT -p tcp --dport 10350 -j DNAT --to 114.115.220.147:10003 #这个IP114.115.220.147是cloudcorer的

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