K8S v1.17.17KubeEdge v1.7部署指南+kubeedge-counter-demo示例

概述

KubeEdge是一个开源系统，用于将容器化应用程序编排功能扩展到Edge的主机。它基于kubernetes构建，并为网络应用程序提供基础架构支持。云和边缘之间的部署和元数据同步。 KubeEdge使用Apache 2.0许可。并且绝对可以免费用于个人或商业用途。KubeEdge 的目标是创建一个开放平台，使能边缘计算，将容器化应用编排功能扩展到边缘的节点和设备，后者基于kubernetes构建，并为云和边缘之间的网络，应用部署和元数据同步提供基础架构支持。本文将基于Centos7.6系统对KugeEdge进行编译与部署，最后演示KubeEdge官方示例Counter Demo 计数器。

一、系统配置

1.1 集群环境

Cloud云端 192.168.17.137
Edge边缘端 192.168.17.138

Hostname	IP	Soft
k8s-master	192.168.17.137	k8s、docker、cloudcore
node1	192.168.17.138	docker、edgecore

1.2 禁用开机启动防火墙

systemctl disable firewalld

1.3 永久禁用SELinux

编辑文件/etc/selinux/config，将SELINUX修改为disabled，如下：

sed -i 's/SELINUX=enforcing/SELINUX=disabled/' /etc/sysconfig/selinux
SELINUX=disabled

1.4 关闭系统Swap（可选）

Kbernetes 1.8 开始要求关闭系统的Swap，如果不关闭，默认配置下kubelet将无法启动，如下：

# sed -i 's/.*swap.*/#&/' /etc/fstab
#/dev/mapper/centos-swap swap           swap   defaults     0 0

1.5 所有机器安装Docker

a. 前置步骤

设置阿里云yum镜像源

wget -O /etc/yum.repos.d/CentOS-Base.repo http://mirrors.aliyun.com/repo/Centos-7.repo

清除原有yum缓存 yum clean all

yum clean all

生成缓存yum makecache

yum makecache

设置阿里云docker镜像源

 yum-config-manager --add-repo https://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo

安装依赖包

yum install -y yum-utils device-mapper-persistent-data lvm2

b. 安装docker

安装docker：

yum install docker-ce -y 

启动docker：

systemctl enable docker && systemctl start docker 

调整docker部分参数：
registry-mirrors改为阿里镜像 “registry-mirrors”: [“https://cheg08k8.mirror.aliyuncs.com”]
native.cgroupdriver默认cgroupfs，k8s官方推荐systemd，否则初始化出现Warning

vi /etc/docker/daemon.json

输入以下内容：

{“registry-mirrors”: [“https://cheg08k8.mirror.aliyuncs.com”],
“exec-opts”: [“native.cgroupdriver=systemd”]，
“live-restore”: true
}

systemctl daemon-reload
systemctl restart docker

检查确认docker的Cgroup Driver信息：

docker info |grep Cgroup
Cgroup Driver: systemd

1.6 重启系统

# reboot

二、cloud节点部署K8s

2.1 配置yum源

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

2.2 安装kubeadm、kubectl

安装指定版本（建议用这个）

yum install kubelet-1.17.0-0.x86_64 kubeadm-1.17.0-0.x86_64 kubectl-1.17.0-0.x86_64

安装最新版

yum install -y kubelet kubeadm kubectl 　

2.3 配置内核参数（可以省略）

cat <<EOF >  /etc/sysctl.d/k8s.conf
net.bridge.bridge-nf-call-ip6tables = 1
net.bridge.bridge-nf-call-iptables = 1
vm.swappiness=0
EOF

sysctl --system
modprobe br_netfilter
sysctl -p /etc/sysctl.d/k8s.conf

2.4 拉取镜像

用命令查看版本当前kubeadm对应的k8s组件镜像版本，如下：

 kubeadm config images list

I0201 01:11:35.698583   15417 version.go:251] remote version is much newer: v1.20.2; falling back to: stable-1.17
W0201 01:11:39.538445   15417 validation.go:28] Cannot validate kube-proxy config - no validator is available
W0201 01:11:39.538486   15417 validation.go:28] Cannot validate kubelet config - no validator is available
k8s.gcr.io/kube-apiserver:v1.17.17
k8s.gcr.io/kube-controller-manager:v1.17.17
k8s.gcr.io/kube-scheduler:v1.17.17
k8s.gcr.io/kube-proxy:v1.17.17
k8s.gcr.io/pause:3.1
k8s.gcr.io/etcd:3.4.3-0
k8s.gcr.io/coredns:1.6.5

因为这些重要镜像都被墙了，所以要预先单独下载好，然后才能初始化集群。
下载脚本：

#!/bin/bash
set -e
KUBE_VERSION=v1.17.17
KUBE_PAUSE_VERSION=3.1
ETCD_VERSION=3.4.3-0
CORE_DNS_VERSION=1.6.5GCR_URL=k8s.gcr.io
ALIYUN_URL=registry.cn-hangzhou.aliyuncs.com/google_containers
images=(kube-proxy:${KUBE_VERSION}
kube-scheduler:${KUBE_VERSION}
kube-controller-manager:${KUBE_VERSION}
kube-apiserver:${KUBE_VERSION}
pause:${KUBE_PAUSE_VERSION}
etcd:${ETCD_VERSION}
coredns:${CORE_DNS_VERSION})
for imageName in ${images[@]} ; dodocker pull $ALIYUN_URL/$imageNamedocker tag  $ALIYUN_URL/$imageName $GCR_URL/$imageNamedocker rmi $ALIYUN_URL/$imageName
done

执行完以上脚本，查看下载下来的镜像，如下：

 docker images

REPOSITORY                           TAG                 IMAGE ID            CREATED             SIZE
k8s.gcr.io/kube-proxy                v1.17.17            3ef67d180564        2 weeks ago         117MB
k8s.gcr.io/kube-apiserver            v1.17.17            38db32e0f351        2 weeks ago         171MB
k8s.gcr.io/kube-controller-manager   v1.17.17            0ddd96ecb9e5        2 weeks ago         161MB
k8s.gcr.io/kube-scheduler            v1.17.17            d415ebbf09db        2 weeks ago         94.4MB
quay.io/coreos/flannel               v0.13.1-rc1         f03a23d55e57        2 months ago        64.6MB
k8s.gcr.io/coredns                   1.6.5               70f311871ae1        15 months ago       41.6MB
k8s.gcr.io/etcd                      3.4.3-0             303ce5db0e90        15 months ago       288MB
k8s.gcr.io/pause                     3.1                 da86e6ba6ca1        3 years ago         742kB

2.5 配置kubelet

在cloud端配置kubelet并非必须，主要是为了验证K8s集群的部署是否正确，也可以在云端搭建Dashboard等应用。

获取Docker的cgroups

DOCKER_CGROUPS=$(docker info | grep 'Cgroup Driver' | cut -d' ' -f4)

echo $DOCKER_CGROUPS

配置kubelet的cgroups

cat >/etc/sysconfig/kubelet<<EOF
KUBELET_EXTRA_ARGS="--cgroup-driver=$DOCKER_CGROUPS --pod-infra-container-image=k8s.gcr.io/pause:3.1"
EOF

启动kubelet

 systemctl daemon-reload

 systemctl enable kubelet && systemctl start kubelet

2.6 初始化K8S集群

kubeadm init --kubernetes-version=v1.17.17 \--pod-network-cidr=10.244.0.0/16 \--apiserver-advertise-address=192.168.2.133 \--ignore-preflight-errors=Swap

To start using your cluster, you need to run the following as a regular user:mkdir -p $HOME/.kubesudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/configsudo chown $(id -u):$(id -g) $HOME/.kube/configYou 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 192.168.2.133:6443 --token befwji.rmuh07racybsqik5 \--discovery-token-ca-cert-hash sha256:74d996a22680090540f06c1f7732e329e518d0147dc2e27895b0b770c1c74d84 

进一步配置kubectl

mkdir -p $HOME/.kube
cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
chown $(id -u):$(id -g) $HOME/.kube/config

查看集群状态

 kubectl get node

NAME           STATUS    ROLES        AGE     VERSION
k8s-master   NotReady    master       4d19h   v1.17.0

NotReady   不用担心，因为还没有配置网络插件，后面配置好就会变成Ready

2.7 配置网络插件

下载flannel插件的yaml文件

 cd ~ && mkdir flannel && cd flannel

 curl -O https://raw.githubusercontent.com/coreos/flannel/master/Documentation/kube-flannel.yml

启动

 kubectl apply -f ~/flannel/kube-flannel.yml

如果下载不下来配置文件，可以直接复制下面内容：

apiVersion: policy/v1beta1
kind: PodSecurityPolicy
metadata:name: psp.flannel.unprivilegedannotations:seccomp.security.alpha.kubernetes.io/allowedProfileNames: docker/defaultseccomp.security.alpha.kubernetes.io/defaultProfileName: docker/defaultapparmor.security.beta.kubernetes.io/allowedProfileNames: runtime/defaultapparmor.security.beta.kubernetes.io/defaultProfileName: runtime/default
spec:privileged: falsevolumes:- configMap- secret- emptyDir- hostPathallowedHostPaths:- pathPrefix: "/etc/cni/net.d"- pathPrefix: "/etc/kube-flannel"- pathPrefix: "/run/flannel"readOnlyRootFilesystem: false# Users and groupsrunAsUser:rule: RunAsAnysupplementalGroups:rule: RunAsAnyfsGroup:rule: RunAsAny# Privilege EscalationallowPrivilegeEscalation: falsedefaultAllowPrivilegeEscalation: false# CapabilitiesallowedCapabilities: ['NET_ADMIN', 'NET_RAW']defaultAddCapabilities: []requiredDropCapabilities: []# Host namespaceshostPID: falsehostIPC: falsehostNetwork: truehostPorts:- min: 0max: 65535# SELinuxseLinux:# SELinux is unused in CaaSPrule: 'RunAsAny'
---
kind: ClusterRole
apiVersion: rbac.authorization.k8s.io/v1
metadata:name: flannel
rules:
- apiGroups: ['extensions']resources: ['podsecuritypolicies']verbs: ['use']resourceNames: ['psp.flannel.unprivileged']
- apiGroups:- ""resources:- podsverbs:- get
- apiGroups:- ""resources:- nodesverbs:- list- watch
- apiGroups:- ""resources:- nodes/statusverbs:- patch
---
kind: ClusterRoleBinding
apiVersion: rbac.authorization.k8s.io/v1
metadata:name: flannel
roleRef:apiGroup: rbac.authorization.k8s.iokind: ClusterRolename: flannel
subjects:
- kind: ServiceAccountname: flannelnamespace: kube-system
---
apiVersion: v1
kind: ServiceAccount
metadata:name: flannelnamespace: kube-system
---
kind: ConfigMap
apiVersion: v1
metadata:name: kube-flannel-cfgnamespace: kube-systemlabels:tier: nodeapp: 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-dsnamespace: kube-systemlabels:tier: nodeapp: flannel
spec:selector:matchLabels:app: flanneltemplate:metadata:labels:tier: nodeapp: flannelspec:affinity:nodeAffinity:requiredDuringSchedulingIgnoredDuringExecution:nodeSelectorTerms:- matchExpressions:- key: kubernetes.io/osoperator: Invalues:- linuxhostNetwork: truepriorityClassName: system-node-criticaltolerations:- operator: Existseffect: NoScheduleserviceAccountName: flannelinitContainers:- name: install-cniimage: quay.io/coreos/flannel:v0.14.0command:- cpargs:- -f- /etc/kube-flannel/cni-conf.json- /etc/cni/net.d/10-flannel.conflistvolumeMounts:- name: cnimountPath: /etc/cni/net.d- name: flannel-cfgmountPath: /etc/kube-flannel/containers:- name: kube-flannelimage: quay.io/coreos/flannel:v0.14.0command:- /opt/bin/flanneldargs:- --ip-masq- --kube-subnet-mgrresources:requests:cpu: "100m"memory: "50Mi"limits:cpu: "100m"memory: "50Mi"securityContext:privileged: falsecapabilities:add: ["NET_ADMIN", "NET_RAW"]env:- name: POD_NAMEvalueFrom:fieldRef:fieldPath: metadata.name- name: POD_NAMESPACEvalueFrom:fieldRef:fieldPath: metadata.namespacevolumeMounts:- name: runmountPath: /run/flannel- name: flannel-cfgmountPath: /etc/kube-flannel/volumes:- name: runhostPath:path: /run/flannel- name: cnihostPath:path: /etc/cni/net.d- name: flannel-cfgconfigMap:name: kube-flannel-cfg

quay.io/coreos/flannel:v0.14.0 镜像会下载失败，执行以下命令

  docker pull lizhenliang/flannel:v0.14.0 docker tag  lizhenliang/flannel:v0.14.0 quay.io/coreos/flannel:v0.14.0docker rmi  lizhenliang/flannel:v0.14.0

镜像下载完毕后，再次查看集群状态

 kubectl get node

NAME       STATUS   ROLES        AGE     VERSION
k8s-master  Ready    master       4d19h   v1.17.0

 kubectl get pods -n kube-system

NAME                                 READY   STATUS    RESTARTS   AGE
coredns-6955765f44-f7s8b             1/1     Running   2          26h
coredns-6955765f44-q69lg             1/1     Running   2          26h
etcd-k8s-master                      1/1     Running   2          26h
kube-apiserver-k8s-master            1/1     Running   10         26h
kube-controller-manager-k8s-master   1/1     Running   4          26h
kube-flannel-ds-75btq                0/1     Pending   0          3h40m
kube-flannel-ds-7w6zp                1/1     Running   2          25h
kube-proxy-qrj4g                     1/1     Running   2          26h
kube-scheduler-k8s-master            1/1     Running   4          26h

三、KubeEdge的安装与配置

3.1 cloud端配置

cloud端负责编译KubeEdge的相关组件与运行cloudcore。

3.1.1 准备工作

下载golang

 wget https://golang.google.cn/dl/go1.14.4.linux-amd64.tar.gztar -zxvf go1.14.4.linux-amd64.tar.gz -C /usr/local

配置golang环境变量

 vim /etc/profile

文件末尾添加：

# golang env
export GOROOT=/usr/local/go
export GOPATH=/data/gopath
export PATH=$PATH:$GOROOT/bin:$GOPATH/bin

source /etc/profile
mkdir -p /data/gopath && cd /data/gopath
mkdir -p src pkg bin

下载KubeEdge源码

这里需要git命令，自行安装git即可

 git clone https://github.com/kubeedge/kubeedge $GOPATH/src/github.com/kubeedge/kubeedge

这个下载有可能会报错，因为github在国内访问不是很稳定，可以在gitee下载

git clone https://gitee.com/iot-kubeedge/kubeedge.git $GOPATH/src/github.com/kubeedge/kubeedge

我的git遇到这个问题：

it fatal: Unable to find remote helper for 'https'

用git代替https，可以试一下（没有遇到的忽略下面的操作）

git clone --recursive git://gitee.com/iot-kubeedge/kubeedge.git

3.1.2 部署cloudcore

编译kubeadm

cd $GOPATH/src/github.com/kubeedge/kubeedge
make all WHAT=keadm
make all WHAT=cloudcore
make all WHAT=edgecore

编译完成后进入bin下

 cd ./_output/local/bin/

创建cloud节点

./keadm init --advertise-address=192.168.17.137 --kubeedge-version=1.7.0

如果出现下面的内容，恭喜你，初始化成功

Kubernetes version verification passed, KubeEdge installation will start... 
KubeEdge cloudcore is running, For logs visit: /var/log/kubeedge/cloudcore.log 
CloudCore started 

不过，99%的人应该是看不到这个界面的，除非你翻墙了。下面就需要手动下载几个文件了

cd /etc/kubeedge/crds/devices/    ##没有这个目录的话，手动创建即可
wget https://raw.githubusercontent.com/kubeedge/kubeedge/release-1.7/build/crds/devices/devices_v1alpha2_devicemodel.yaml
wget https://raw.githubusercontent.com/kubeedge/kubeedge/release-1.7/build/crds/devices/devices_v1alpha2_device.yaml

cd /etc/kubeedge/crds/reliablesyncs/  ##没有这个目录的话，手动创建即可
wget https://raw.githubusercontent.com/kubeedge/kubeedge/release-1.7/build/crds/reliablesyncs/cluster_objectsync_v1alpha1.yaml
wget https://raw.githubusercontent.com/kubeedge/kubeedge/release-1.7/build/crds/reliablesyncs/objectsync_v1alpha1.yaml

cd /etc/kubeedge/crds/router/  ##没有这个目录的话，手动创建即可
wget https://raw.githubusercontent.com/kubeedge/kubeedge/release-1.7/build/crds/router/router_v1_rule.yaml
wget https://raw.githubusercontent.com/kubeedge/kubeedge/release-1.7/build/crds/router/router_v1_ruleEndpoint.yaml

cd /etc/kubeedge/  ##没有这个目录的话，手动创建即可
wget https://raw.githubusercontent.com/kubeedge/kubeedge/release-1.7/build/tools/cloudcore.service
wget https://github.com/kubeedge/kubeedge/releases/download/v1.7.0/kubeedge-v1.7.0-linux-amd64.tar.gz

再次初始化

./keadm init --advertise-address=192.168.17.137 --kubeedge-version=1.7.0

Kubernetes version verification passed, KubeEdge installation will start...
Expected or Default KubeEdge version 1.7.0 is already downloaded and will checksum for it. 
kubeedge-v1.7.0-linux-amd64.tar.gz checksum: 
checksum_kubeedge-v1.7.0-linux-amd64.tar.gz.txt content: 
kubeedge-v1.7.0-linux-amd64.tar.gz in your path checksum failed and do you want to delete this file and try to download again? 
[y/N]: 

此处输入N，checksum失败不影响配置
最后cloudcore 启动成功：

kubeedge-v1.7.0-linux-amd64/
kubeedge-v1.7.0-linux-amd64/edge/
kubeedge-v1.7.0-linux-amd64/edge/edgecore
kubeedge-v1.7.0-linux-amd64/cloud/
kubeedge-v1.7.0-linux-amd64/cloud/csidriver/
kubeedge-v1.7.0-linux-amd64/cloud/csidriver/csidriver
kubeedge-v1.7.0-linux-amd64/cloud/admission/
kubeedge-v1.7.0-linux-amd64/cloud/admission/admission
kubeedge-v1.7.0-linux-amd64/cloud/cloudcore/
kubeedge-v1.7.0-linux-amd64/cloud/cloudcore/cloudcore
kubeedge-v1.7.0-linux-amd64/versionKubeEdge cloudcore is running, For logs visit:  /var/log/kubeedge/cloudcore.log
CloudCore started

3.2 edge端配置

edge端可以将cloud端编译生成的二进制可执行文件通过scp命令复制到edge端。

3.2.1 从云端获取令牌

在Cloud云端运行将返回令牌，该令牌将在加入边缘节点时使用

./keadm gettoken

934ea2c26ecfbb57dd8fb391e8906d79496c59598e3657bd09c6ec08068b931e.eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJleHAiOjE2Mjg5MTEyMTl9.osN_3o8roDfCg6kufPv7Qkf-sZJk7CwGNs9rZJcSets

3.2.2 加入边缘节点

keadm join将安装edgecore和mqtt。它还提供了一个标志，通过它可以设置特定的版本。

./keadm join --cloudcore-ipport=192.168.17.137:10000 --edgenode-name=node1 --kubeedge-version=1.7.0 --token=934ea2c26ecfbb57dd8fb391e8906d79496c59598e3657bd09c6ec08068b931e.eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJleHAiOjE2Mjg5MTEyMTl9.osN_3o8roDfCg6kufPv7Qkf-sZJk7CwGNs9rZJcSets

重要的提示： * –cloudcore-ipport 标志是强制性标志。 * 如果要自动为边缘节点应用证书，–token则需要。 * 云和边缘端使用的kubeEdge版本应相同。edgenode-name是主机名，千万不要写错

报错信息：

F0817 16:58:45.223586   31693 keadm.go:27] fail to download service file,error:{failed to exec 'bash -c cd /etc/kubeedge/ && sudo -E wget -t 5 -k --no-check-certificate https://raw.githubusercontent.com/kubeedge/kubeedge/release-1.7/build/tools/edgecore.service', err: --2021-08-17 16:58:23--  https://raw.githubusercontent.com/kubeedge/kubeedge/release-1.7/build/tools/edgecore.service

同样类似于cloudcore,将下面对应文件共享到配置目录/etc/kubeedge

https://github.com/kubeedge/kubeedge/releases/download/v1.7.0/kubeedge-v1.7.0-linux-amd64.tar.gzhttps://raw.githubusercontent.com/kubeedge/kubeedge/release-1.7/build/tools/edgecore.service

3.3 验证

边缘端在启动edgecore后，会与云端的cloudcore进行通信，K8s进而会将边缘端作为一个node纳入K8s的管控。

kubectl get node
NAME         STATUS   ROLES        AGE     VERSION
k8s-master   Ready    master       27h     v1.17.0
node1        Ready    agent,edge   4h25m   v1.19.3-kubeedge-v1.7.0

kubectl get pods -n kube-system
NAME                                 READY   STATUS    RESTARTS   AGE
coredns-6955765f44-f7s8b             1/1     Running   2          27h
coredns-6955765f44-q69lg             1/1     Running   2          27h
etcd-k8s-master                      1/1     Running   2          27h
kube-apiserver-k8s-master            1/1     Running   10         27h
kube-controller-manager-k8s-master   1/1     Running   4          27h
kube-flannel-ds-75btq                0/1     Pending   0          4h26m
kube-flannel-ds-7w6zp                1/1     Running   2          26h
kube-proxy-qrj4g                     1/1     Running   2          27h
kube-scheduler-k8s-master            1/1     Running   4          27h

说明：这里由于edge节点没有部署kubelet，所以调度到edge节点上的flannel pod会创建失败。 这不影响KubeEdge的使用，可以先忽略这个问题。

四。运行 kubeedge 示例

这里拿官方的一个例子，进行测试，官方介绍如下：

❝ KubeEdge Counter Demo 计数器是一个伪设备，用户无需任何额外的物理设备即可运行此演示。
计数器在边缘侧运行，用户可以从云侧在 Web 中对其进行控制，也可以从云侧在 Web 中获得计数器值,
原理图如下：

4.1 准备工作 (云端操作)

下载示例代码：

使用官方的示例仓库会比较慢，这里使用加速仓库

git clone https://gitee.com/iot-kubeedge/kubeedge-examples.git $GOPATH/src/github.com/kubeedge/examples

4.2 创建 device model 和 device

创建 device model

cd $GOPATH/src/github.com/kubeedge/examples/kubeedge-counter-demo/crds
kubectl create -f kubeedge-counter-model.yaml

创建 model

#需要根据实际情况修改yaml文件，修改matchExpressions

 cd $GOPATH/src/github.com/kubeedge/examples/kubeedge-counter-demo/crds

 vim kubeedge-counter-instance.yaml
apiVersion: devices.kubeedge.io/v1alpha1
kind: Device
metadata:name: counterlabels:description: 'counter'manufacturer: 'test'
spec:deviceModelRef:name: counter-modelnodeSelector:nodeSelectorTerms:- matchExpressions:- key: 'kubernetes.io/hostname'operator: Invalues:- node1   # 我这里的hostname就是node1status:twins:- propertyName: statusdesired:metadata:type: stringvalue: 'OFF'reported:metadata:type: stringvalue: '0'

运行yaml

kubectl create -f kubeedge-counter-instance.yaml

4.3 部署云端应用

云端应用 web-controller-app 用来控制边缘端的 pi-counter-app 应用，该程序默认监听的端口号为 80，此处修改为 8090，如下所示：

# cd $GOPATH/src/github.com/kubeedge/examples/kubeedge-counter-demo/web-controller-app

# vim main.go
package mainimport ("github.com/astaxie/beego""github.com/kubeedge/examples/kubeedge-counter-demo/web-controller-app/controller"
)func main() {beego.Router("/", new(controllers.TrackController), "get:Index")beego.Router("/track/control/:trackId", new(controllers.TrackController), "get,post:ControlTrack")beego.Run(":8090")
}

改程序依赖的js有可能访问不到，导致后面会有问题，我们需要修改以下源码：、

# cd $GOPATH/src/github.com/kubeedge/examples/kubeedge-counter-demo/web-controller-app/views/

vi layout.html
<!DOCTYPE html>
<html lang="en"><head><meta charset="utf-8"><meta content="IE=edge" http-equiv="X-UA-Compatible"><meta content="width=device-width, initial-scale=1.0" name="viewport"><title>KubeEdge Web Demo {{.Title}}</title><meta content="" name="description"><meta content="" name="author"><script src="https://code.jquery.com/jquery-1.10.2.min.js"></script> ##改成下面的地址，把这行删了<script src="https://cdn.staticfile.org/jquery/1.10.2/jquery.min.js"></script><script src="/static/js/bootstrap.min.js"></script><script src="/static/js/bootstrap-select.js"></script><link rel="stylesheet" href="/static/css/bootstrap.min.css"><link rel="stylesheet" href="/static/css/main.css"><link rel="stylesheet" href="/static/css/bootstrap-select.css"><link href='http://fonts.googleapis.com/css?family=Rambla' rel='stylesheet' type='text/css'>{{.PageHead}}<!-- Just for debugging purposes. Don't actually copy this line! --><!--[if lt IE 9]><script src="../../docs-assets/js/ie8-responsive-file-warning.js"></script><![endif]--><!-- HTML5 shim and Respond.js IE8 support of HTML5 elements and media queries --><!--[if lt IE 9]><script src="https://oss.maxcdn.com/libs/html5shiv/3.7.0/html5shiv.js"></script><script src="https://oss.maxcdn.com/libs/respond.js/1.3.0/respond.min.js"></script><![endif]--></head><body>{{.LayoutContent}}{{.Modal}}
</body>
</html>

构建镜像

make all
make docker

部署 web-controller-app

cd $GOPATH/src/github.com/kubeedge/examples/kubeedge-counter-demo/crds
kubectl apply -f kubeedge-web-controller-app.yaml

部署成功后浏览器访问如下地址:

4.4部署边缘端应用

 cd $GOPATH/src/github.com/kubeedge/examples/kubeedge-counter-demo/counter-mappermake allmake docker

部署 Pi Counter App

# cd $GOPATH/src/github.com/kubeedge/examples/kubeedge-counter-demo/crds

# kubectl apply -f kubeedge-pi-counter-app.yaml

说明：为了防止Pod的部署卡在ContainerCreating，这里直接通过docker save、scp和docker load命令将镜像发布到边缘端

 docker save -o kubeedge-pi-counter.tar kubeedge/kubeedge-pi-counter:v1.0.0scp  kubeedge-pi-counter.tar root@192.168.17.138:/rootdocker load -i kubeedge-pi-counter.tar  # 在边缘端执行

体验 demo 现在，KubeEdge Demo 的云端部分和边缘端的部分都已经部署完毕，如下：

kubectl get pod -o wide
NAME                                    READY   STATUS    RESTARTS   AGE    IP               NODE         NOMINATED NODE   READINESS GATES
kubeedge-counter-app-758b9b4ffd-h4kcl   1/1     Running   0          147m   192.168.17.137   k8s-master   <none>           <none>
kubeedge-pi-counter-c69698d6-vxnbh      1/1     Running   0          156m   192.168.17.138   node1        <none>           <none>

选择ON点击Execute

去边缘节点使用docker logs -f counter-container-id

docker logs -f 16029a18aeed