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文章目录
- 1. Metrics Server 插件
- 1.1 编排文件
- 1.2 安装
- 2.top命令使用示例
- 2.1 查看pod资源
- 2.2 查看node资源
- 2.3 简单的监控页面
前言：
使用top命令查看需k8s使用资源信息，需要安装Metrics-Server 插件。
注意：这个kube-state-metrics是不一样的。
1. Metrics Server 插件
参考文档：https://github.com/kubernetes-sigs/metrics-server
注意：官网有坑不要按上边的来
1.1 编排文件
- 下载地址:
https://github.com/kubernetes-sigs/metrics-server/releases
选择合适的版本下载
- 镜像准备
默认的 k8s.gcr.io的镜像下载不了，我们选择科学上网或下载阿里云镜像
registry.aliyuncs.com/google_containers/metrics-server-amd64:v0.3.6
- 修改yaml文件
修改如下三处
- 添加command（必要）
- 添加limit（非必要）
- 修改镜像（非必要）
components.yaml 文件修改如下：
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:name: system:aggregated-metrics-readerlabels:rbac.authorization.k8s.io/aggregate-to-view: "true"rbac.authorization.k8s.io/aggregate-to-edit: "true"rbac.authorization.k8s.io/aggregate-to-admin: "true"
rules:
- apiGroups: ["metrics.k8s.io"]resources: ["pods", "nodes"]verbs: ["get", "list", "watch"]
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:name: metrics-server:system:auth-delegator
roleRef:apiGroup: rbac.authorization.k8s.iokind: ClusterRolename: system:auth-delegator
subjects:
- kind: ServiceAccountname: metrics-servernamespace: kube-system
---
apiVersion: rbac.authorization.k8s.io/v1
kind: RoleBinding
metadata:name: metrics-server-auth-readernamespace: kube-system
roleRef:apiGroup: rbac.authorization.k8s.iokind: Rolename: extension-apiserver-authentication-reader
subjects:
- kind: ServiceAccountname: metrics-servernamespace: kube-system
---
apiVersion: apiregistration.k8s.io/v1beta1
kind: APIService
metadata:name: v1beta1.metrics.k8s.io
spec:service:name: metrics-servernamespace: kube-systemgroup: metrics.k8s.ioversion: v1beta1insecureSkipTLSVerify: truegroupPriorityMinimum: 100versionPriority: 100
---
apiVersion: v1
kind: ServiceAccount
metadata:name: metrics-servernamespace: kube-system
---
apiVersion: apps/v1
kind: Deployment
metadata:name: metrics-servernamespace: kube-systemlabels:k8s-app: metrics-server
spec:selector:matchLabels:k8s-app: metrics-servertemplate:metadata:name: metrics-serverlabels:k8s-app: metrics-serverspec:serviceAccountName: metrics-servervolumes:# mount in tmp so we can safely use from-scratch images and/or read-only containers- name: tmp-diremptyDir: {}containers:- name: metrics-server#image: k8s.gcr.io/metrics-server-amd64:v0.3.6image: registry.aliyuncs.com/google_containers/metrics-server-amd64:v0.3.6imagePullPolicy: IfNotPresentargs:- --cert-dir=/tmp- --secure-port=4443command:- /metrics-server- --kubelet-insecure-tls- --kubelet-preferred-address-types=InternalDNS,InternalIP,ExternalDNS,ExternalIP,Hostnameports:- name: main-portcontainerPort: 4443protocol: TCPsecurityContext:readOnlyRootFilesystem: truerunAsNonRoot: truerunAsUser: 1000volumeMounts:- name: tmp-dirmountPath: /tmpresources:limits:cpu: 300mmemory: 200Mirequests:cpu: 200mmemory: 100MinodeSelector:kubernetes.io/os: linuxkubernetes.io/arch: "amd64"
---
apiVersion: v1
kind: Service
metadata:name: metrics-servernamespace: kube-systemlabels:kubernetes.io/name: "Metrics-server"kubernetes.io/cluster-service: "true"
spec:selector:k8s-app: metrics-serverports:- port: 443protocol: TCPtargetPort: main-port
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:name: system:metrics-server
rules:
- apiGroups:- ""resources:- pods- nodes- nodes/stats- namespaces- configmapsverbs:- get- list- watch
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:name: system:metrics-server
roleRef:apiGroup: rbac.authorization.k8s.iokind: ClusterRolename: system:metrics-server
subjects:
- kind: ServiceAccountname: metrics-servernamespace: kube-system
1.2 安装
- 安装
kubectl create -f ./components.yaml
- 查看
pod/metrics-server-6cbcc95697-xckv6 1/1 Running 0 6h26mservice/metrics-server ClusterIP 10.1.113.17 <none> 443/TCP 6h26mdeployment.apps/metrics-server 1/1 1 1 6h26mreplicaset.apps/metrics-server-6cbcc95697 1 1 1 6h26m对比一下我们这钱安装的kube-state-metrics
[root@IoT-M01 yml]# kubectl get all -n kube-system |grep metrics
pod/kube-state-metrics-6497487656-4p9w6 1/1 Running 1 13d
pod/metrics-server-6cbcc95697-xckv6 1/1 Running 0 13mservice/kube-state-metrics ClusterIP None <none> 8080/TCP,8081/TCP 13d
service/metrics-server ClusterIP 10.1.113.17 <none> 443/TCP 13mdeployment.apps/kube-state-metrics 1/1 1 1 13ddeployment.apps/metrics-server 1/1 1 1 13m
replicaset.apps/kube-state-metrics-6497487656 1 1 1 13d
replicaset.apps/kube-state-metrics-74b87488f 0 0 0 13dreplicaset.apps/metrics-server-6cbcc95697 1 1 1 13m
可以看到，之前监控启动的
kube-state-metrics和本次安装的metrics-server并不是一套服务 。
一个使用了8080端口，一个使用了安全端口443。
虽然镜像不一样，但都是收集k8s资源信息的，不知道是不是用一个就可以，没有测试。
2.top命令使用示例
2.1 查看pod资源
[root@devops-master ~]# kubectl top pod -n iot-test-03
NAME CPU(cores) MEMORY(bytes)
apigw-iot-85584cf578-ffr9d 1m 35Mi
apigw-iot-85584cf578-j5bg9 1m 43Mi
apigw-iot-85584cf578-vs4f6 1m 45Mi
emqx-iot-0 2m 173Mi
emqx-iot-1 3m 143Mi
emqx-iot-2 3m 139Mi
monitor-iot-67857b5d65-5gwxd 1m 40Mi
monitor-iot-67857b5d65-p2gjx 1m 47Mi
monitor-iot-67857b5d65-vgl92 1m 33Mi
msgroute-iot-6c4d676c5d-6n6jp 1m 11Mi
msgroute-iot-6c4d676c5d-7grgx 1m 17Mi
msgroute-iot-6c4d676c5d-q4k87 1m 14Mi
mysql-iot-8dflr 1m 251Mi
redis-iot-58498b5dc8-j5w8g 2m 13Mi
remotectl-iot-74d59ff47-6r9fd 1m 23Mi
remotectl-iot-74d59ff47-r42gn 1m 27Mi
remotectl-iot-74d59ff47-s2c7k 1m 33Mi
remoteops-iot-679465fd48-kn2l8 1m 28Mi
remoteops-iot-679465fd48-sz8nx 1m 16Mi
remoteops-iot-679465fd48-vsj8v 1m 23Mi
web-iot-ffc9b5fff-4ls9k 0m 9Mi
web-iot-ffc9b5fff-5d457 0m 10Mi
web-iot-ffc9b5fff-g54rx 0m 5Mi2.2 查看node资源
NAME CPU(cores) CPU% MEMORY(bytes) MEMORY%
b9-node02 118m 5% 1205Mi 32%
b9-node3 80m 2% 2321Mi 14%
devopsnode01 186m 2% 6569Mi 41%
es-node32cuogf 325m 2% 6866Mi 21%
master01 244m 3% 17915Mi 56%
2.3 简单的监控页面
注意：此处仅是一个示例，不具有生产意义，真实场景还是要接正经监控的
- 写一个脚本将将数据写入nginx页面
#!/bin/bash
for ((i=0;i<=58;i++))
dokubectl top -n $1 pod > /usr/local/nginx/build/$1.txtecho "----------date-------------" >> /usr/local/nginx/build/$1.txtdate "+%Y-%m-%d %H:%M:%S" >> /usr/local/nginx/build/$1.txtsleep 1
done
- 设置定时任务
* * * * * bash /usr/local/script/nginx/kube-top.sh crust-framework
- 查看结果
