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Editor to share with you how to achieve automatic capacity expansion and reduction of Pod in kubernetes. I hope you will gain something after reading this article. Let's discuss it together.

One: brief introduction

Through the HPA controller, Kubernetes is used to realize the function of automatic Pod capacity expansion and reduction with basic CPU utilization. The HAP controller periodically detects the CPU utilization of the target Pod based on the Kube-controller-manager service startup parameter of Master-the duration defined by horizontal-pod-autoscaler-sync-period (the default is 30s), and adjusts the number of Pod replicas in ReplicationController or Deployment when the conditions are met to meet the user-defined average Pod CPU utilization. Pod CPU usage comes from Heapster components, all need to be pre-installed with Heapster.

Second: the creation of HPA

You can create a HPA quickly using the kubectl autoscale command or using a Yaml configuration file. Before creating a HPA, a Deployment/RC object needs to exist, and the Pod in the Deployment/RC must define the resource request value of the resources.requests.cpu. If you do not set this value, the Heapster will not be able to collect the CPU usage of the Pod, which will cause the HPA to fail to work properly.

For example:

1.kubectl autoscale deployment php-apache-min=1-max=10-cpu-percent=50

two。 Create from a yaml file

ApiVersion: autoscaling/v1

Kind: HorizontalPodAutoscaler

Metadata:

Name: php-apache

Spec:

ScaleTargetRef:

ApiVersion: apps/v1beta1

Kind: Deployment

Name: php-apache

MinReplicas: 1

MaxReplicas: 10

TargetCPUUtilizationPercentage: 50

After reading this article, I believe you have a certain understanding of "how to achieve automatic expansion and reduction of Pod in kubernetes". If you want to know more about it, you are welcome to follow the industry information channel. Thank you for reading!

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