内容简介：本篇文章，所使用的任何镜像和yaml我都会发一个网盘链接，供大家下载学习！github：有任何问题可以直接联系我的Email：heyangev@cn.ibm.com
本篇文章，所使用的任何镜像和yaml我都会发一个网盘链接，供大家下载学习！
github： https://github.com/heyangguang
有任何问题可以直接联系我的Email：heyangev@cn.ibm.com
Heapster是一个收集者，将每个Node上的cAdvisor的数据进行汇总，然后导到第三方工具(如InfluxDB)。
Heapster介绍
架构图：
Heapster首先从K8S Master获取集群中所有Node的信息，然后通过这些Node上的kubelet获取有用数据，而kubelet本身的数据则是从cAdvisor得到。所有获取到的数据都被推到Heapster配置的后端存储中，并还支持数据的可视化。现在后端存储 + 可视化的方法，如InfluxDB + grafana。
部署实施：
下载heapster镜像，上传heapster.yaml、heapster-mod.yaml文件apply就可以了。
k8smaster: [root@k8smaster ~]# docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/heapster-amd64:v1.5.4 Trying to pull repository registry.cn-hangzhou.aliyuncs.com/google_containers/heapster-amd64 ... v1.5.4: Pulling from registry.cn-hangzhou.aliyuncs.com/google_containers/heapster-amd64 91380601464e: Pull complete f351486260ed: Pull complete Digest: sha256:c4a8d9c0007abb73a1b9e4f9c8bfb044e475aae2b4e6276ab2f8b13959cf6949 Status: Downloaded newer image for registry.cn-hangzhou.aliyuncs.com/google_containers/heapster-amd64:v1.5.4 [root@k8smaster ~]# ls anaconda-ks.cfg heapster-mod.yaml heapster.yaml images.tar kube-flannel.yml [root@k8smaster ~]# kubectl apply -f heapster.yaml serviceaccount/heapster created clusterrolebinding.rbac.authorization.k8s.io/heapster created deployment.apps/heapster created service/heapster created [root@k8smaster ~]# kubectl apply -f heapster-mod.yaml Warning: kubectl apply should be used on resource created by either kubectl create --save-config or kubectl apply clusterrole.rbac.authorization.k8s.io/system:heapster configured 查看状态： [root@k8smaster ~]# kubectl get pods -n kube-system NAME READY STATUS RESTARTS AGE coredns-86c58d9df4-kmfct 1/1 Running 0 23m coredns-86c58d9df4-qn2k2 1/1 Running 0 23m etcd-k8smaster 1/1 Running 0 23m heapster-569b679494-rktzf 1/1 Running 0 18s kube-apiserver-k8smaster 1/1 Running 1 22m kube-controller-manager-k8smaster 1/1 Running 0 22m kube-flannel-ds-amd64-9rmfz 1/1 Running 0 19m kube-flannel-ds-amd64-vnwtf 1/1 Running 0 15m kube-flannel-ds-amd64-x7q4s 1/1 Running 0 15m kube-proxy-7zl9n 1/1 Running 0 22m kube-proxy-t2sx9 1/1 Running 0 23m kube-proxy-txsfr 1/1 Running 0 22m kube-scheduler-k8smaster 1/1 Running 0 23m 稍等一会，使用kubectl top node查看集群状态即可： [root@k8smaster ~]# kubectl top node NAME CPU(cores) CPU% MEMORY(bytes) MEMORY% k8smaster 122m 3% 2848Mi 8% k8snode-1 27m 0% 603Mi 1% k8snode-2 26m 0% 582Mi 1%
到这里heapster收集集群数据教程就完成了！
希望大家可以给我指出问题，我们一起前进！
谢谢大家！
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