Practical production environment: 1.13.3 latest k8s cluster deployment Heapster plug-in

Posted by nawal on Wed, 04 Dec 2019 03:18:54 +0100

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Heapster is a collector that summarizes the data of C advisor on each Node and then exports it to a third-party tool (such as InfluxDB).

About Heapster

Architecture diagram:

Heapster first obtains the information of all nodes in the cluster from the K8S Master, and then obtains the useful data through the kubelet on these nodes, while the data of kubelet itself is obtained from the C advisor. All acquired data is pushed into the backend storage of the heapster configuration, and data visualization is also supported. Now back-end storage + visualization methods, such as InfluxDB + grafana.

Deployment implementation:

Download the heapster image and upload the heapster.yaml and heapster mod.yaml files to apply.

[root@k8smaster ~]# docker pull
Trying to pull repository ...
v1.5.4: Pulling from
91380601464e: Pull complete
f351486260ed: Pull complete
Digest: sha256:c4a8d9c0007abb73a1b9e4f9c8bfb044e475aae2b4e6276ab2f8b13959cf6949
Status: Downloaded newer image for
[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 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 configured

//View status:
[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

//Later, use kubectl top node to view the cluster status:
[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%

Here is the tutorial of heapster collecting cluster data!

I hope you can point out the problems for me and let's move forward together!

Thank you!

Topics: Go kubelet InfluxDB github Docker