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

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

官方安装地址: https://kubeedge.io/en/docs/advanced/metrics/

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%       

在这里插入图片描述

kubeedge节点开启CPU内存的监控

官方文档地址: https://github.com/kubeedge/kubeedge/blob/v1.5.0/docs/setup/keadm.md

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/

#设置环境CLOUDCOREIPS。环境变量设置为指定cloudcore的IP地址
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