K8S-Demo集群实践14：部署集群监控服务Metrics Server

• K8S资源使用情况的度量（如容器的 CPU 和内存使用）可以通过Metrics API获取
• metrics-server通过调用Kubelet Summary API获取数据
• 把master节点也加入集群进行调度，即master节点部署kubelet和kube-proxy，mertics-server组件才能够正常部署

一、下载并解压 Metrics-Server

[root@master1 ~]# cd /opt/install && mkdir -p metrics-server
[root@master1 install]# cd metrics-server
[root@master1 metrics-server]# wget https://github.com/kubernetes-sigs/metrics-server/archive/v0.3.6.tar.gz

二、修改Metrics-Server配置文件

[root@master1 ~]# cd /opt/install/metrics-server/metrics-server-0.3.6/deploy/1.8+/
[root@master1 1.8+]# cp metrics-server-deployment.yaml metrics-server-deployment.yaml.backup
[root@master1 1.8+]# vi metrics-server-deployment.yaml
[root@master1 1.8+]# diff metrics-server-deployment.yaml metrics-server-deployment.yaml.backup
32,38c32,33
<         image: harbor.demo/middleware/metrics-server-amd64:v0.3.6
<         imagePullPolicy: IfNotPresent
<         command:
<         - /metrics-server
<         - --requestheader-allowed-names=k8s-demo-aggregator
<         - --kubelet-insecure-tls
<         - --kubelet-preferred-address-types=InternalIP,Hostname,InternalDNS,ExternalDNS,ExternalIP
---
>         image: k8s.gcr.io/metrics-server-amd64:v0.3.6
>         imagePullPolicy: Always
42,48c37
<         resources:
<           limits:
<             cpu: 500m
<             memory: 500Mi
<           requests:
<             cpu: 200m