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k8s kubeedge安装metrics-server监控节点cpu内存使用情况

k8s的master节点上安装metrics-server

 
   
   
 

  
    
    
  
#在k8s的master节点上执行
  
    
    
  


  
    
    
  
#创建目录
  
    
    
  
mkdir metrics-server
  
    
    
  


  
    
    
  
#下载deploy文件
  
    
    
  
wget https://github.com/kubernetes-sigs/metrics-server/releases/download/v0.4.0/components.yaml -O deploy.yaml
  
    
    
  


  
    
    
  
#修改配置如下,可以参考官方的配置
  
    
    
  
vim deploy.yaml
  
    
    
  
 spec:
  
    
    
  
 affinity:
  
    
    
  
 nodeAffinity:
  
    
    
  
 requiredDuringSchedulingIgnoredDuringExecution:
  
    
    
  
 nodeSelectorTerms:
  
    
    
  
 - matchExpressions:
  
    
    
  
 - key: node-role.kubernetes.io/master
  
    
    
  
 operator: Exists
  
    
    
  
 tolerations:
  
    
    
  
 - key: node-role.kubernetes.io/master
  
    
    
  
 operator: Exists
  
    
    
  
 effect: NoSchedule
  
    
    
  
 hostNetwork: true
  
    
    
  


  
    
    
  


  
    
    
  
 containers:
  
    
    
  
 - args:
  
    
    
  
 - --kubelet-insecure-tls
  
    
    
  
 - --cert-dir=/tmp
  
    
    
  
 - --secure-port=4443
  
    
    
  


  
    
    
  
#deploy里的镜像需要翻墙下载
  
    
    
  
docker pull k8s.gcr.io/metrics-server/metrics-server:v0.4.0
  
    
    
  


  
    
    
  
#我先本地翻墙,把镜像下载下来然后导过去的
  
    
    
  
docker save -o metrics-server-image.tar k8s.gcr.io/metrics-server/metrics-server:v0.4.0
  
    
    
  
docker load -i metrics-server-image.tar
  
    
    
  


  
    
    
  
#大家可以在docker hub下载我推上去的镜像
  
    
    
  
docker push beyondyinjl/metrics-server:v0.4.0
  
    
    
  
#然后修改镜像名
  
    
    
  
docker tag beyondyinjl/metrics-server:v0.4.0 k8s.gcr.io/metrics-server/metrics-server:v0.4.0
  
    
    
  


  
    
    
  
#应用
  
    
    
  
kubectl apply -f deploy.yaml
  
    
    
  


  
    
    
  
#过一会,等启动成功后,使用命令查看内存CPU情况
  
    
    
  
kubectl top node
  
    
    
  
#回显如下:
  
    
    
  
NAME CPU(cores) CPU% MEMORY(bytes) MEMORY% 
  
    
    
  
edge-node-1 2100m 52% 1579Mi 42% 
  
    
    
  
k8s-master 1404m 35% 12325Mi 78% 
 
   
   
 

kubeedge节点开启CPU内存的监控

在部署metrics-server之前，kubectl logs必须激活功能

 
   
   
 

  
    
    
  
#在云节点上操作:
  
    
    
  


  
    
    
  
#用户更改为root
  
    
    
  
sudo su
  
    
    
  


  
    
    
  
#确保您可以找到kubernetes 的ca.crt和ca.key文件
  
    
    
  
ls /etc/kubernetes/pki/
  
    
    
  


  
    
    
  

  
    
    
  
export CLOUDCOREIPS="192.168.3.100"
  
    
    
  
echo $CLOUDCOREIPS
  
    
    
  


  
    
    
  
cp $GOPATH/src/github.com/kubeedge/kubeedge/build/tools/certgen.sh /etc/kubeedge/
  
    
    
  
cd /etc/kubeedge/
  
    
    
  


  
    
    
  
#从certgen.sh生成证书
  
    
    
  
/etc/kubeedge/certgen.sh stream
  
    
    
  


  
    
    
  
#需要在云主机上设置iptables。（此命令应该在每个apiserver部署的节点上执行。)
  
    
    
  
iptables -F && iptables -t nat -F && iptables -t mangle -F && iptables -X
  
    
    
  
iptables -t nat -A OUTPUT -p tcp --dport 10350 -j DNAT --to $CLOUDCOREIPS:10003
  
    
    
  


  
    
    
  
#修改云主机 enable: true
  
    
    
  
vim /etc/kubeedge/config/cloudcore.yaml
  
    
    
  


  
    
    
  
cloudStream:
  
    
    
  
 enable: true
  
    
    
  
 streamPort: 10003
  
    
    
  
 tlsStreamCAFile: /etc/kubeedge/ca/streamCA.crt
  
    
    
  
 tlsStreamCertFile: /etc/kubeedge/certs/stream.crt
  
    
    
  
 tlsStreamPrivateKeyFile: /etc/kubeedge/certs/stream.key
  
    
    
  
 tlsTunnelCAFile: /etc/kubeedge/ca/rootCA.crt
  
    
    
  
 tlsTunnelCertFile: /etc/kubeedge/certs/server.crt
  
    
    
  
 tlsTunnelPrivateKeyFile: /etc/kubeedge/certs/server.key
  
    
    
  
 tunnelPort: 10004
  
    
    
  


  
    
    
  
#重启cloudcore
  
    
    
  
systemctl status cloudcore.service
  
    
    
  
systemctl restart cloudcore.service
 
   
   
 

 
   
   
 

  
    
    
  
#在边缘节点上操作
  
    
    
  


  
    
    
  
#修改 enable: true server: 192.168.x.x:10004
  
    
    
  
vim /etc/kubeedge/config/edgecore.yaml
  
    
    
  
edgeStream:
  
    
    
  
 enable: true
  
    
    
  
 handshakeTimeout: 30
  
    
    
  
 readDeadline: 15
  
    
    
  
 server: 192.168.3.100:10004
  
    
    
  
 tlsTunnelCAFile: /etc/kubeedge/ca/rootCA.crt
  
    
    
  
 tlsTunnelCertFile: /etc/kubeedge/certs/server.crt
  
    
    
  
 tlsTunnelPrivateKeyFile: /etc/kubeedge/certs/server.key
  
    
    
  
 writeDeadline: 15
  
    
    
  


  
    
    
  
#重启edge core
  
    
    
  
systemctl status edgecore.service
  
    
    
  
systemctl restart edgecore.service
 
   
   
 

shell脚本动态替换

 
   
   
 

  
    
    
  
#备份一下
  
    
    
  
cp /etc/kubeedge/config/edgecore.yaml /etc/kubeedge/config/edgecore.yaml.bak
  
    
    
  


  
    
    
  
#删除edgeStream的下一行
  
    
    
  
sed -i '/edgeStream:/{n;d}' /etc/kubeedge/config/edgecore.yaml.bak
  
    
    
  


  
    
    
  
#在edgeStream的下一行添加一行: enable: true
  
    
    
  
sed -i -e '/edgeStream:/{s|$|\n enable: true|}' /etc/kubeedge/config/edgecore.yaml.bak
  
    
    
  


  
    
    
  
#删除edgeStream的下第4行
  
    
    
  
sed -i '/edgeStream:/{n;n;n;n;d}' /etc/kubeedge/config/edgecore.yaml
  
    
    
  


  
    
    
  
#在edgeStream的下第3行后添加一行,也就是第4行: server: 192.168.3.100:10004
  
    
    
  
sed -i -e '/edgeStream:/{n;n;n;s|$|\n server: 192.168.3.100:10004|}' /etc/kubeedge/config/edgecore.yaml
  
    
    
  


  
    
    
  
#这里的 server: cloudIp:10004 会原样写入到文件
  
    
    
  
sed -i -e '/edgeStream:/{n;n;n;s|$|\n server: cloudIp:10004|}' /etc/kubeedge/config/edgecore.yaml
  
    
    
  


  
    
    
  
#替换文件中cloudIp为变量$cloudIp的内容如:192.168.3.100
  
    
    
  
cloudIp=192.168.3.100
  
    
    
  
sed -i "s/cloudIp/$cloudIp/g" /etc/kubeedge/config/edgecore.yaml