Kubernetes HPA - Scale up and Scale down policies. Learn to control pod scale-out and scale-in.

Learn how to manage and control horizontal pod autocaler (HPA) in a production grade Kubernetes cluster. Learn what is stabilization window and how it help in avoiding flapping of pods in case of load fluctuations. Also learn how to change behaviour of scale up and scale down policies to adjust as per your work environment.

Horizontal scaling means that the response to increased load is to deploy more Pods. This is different from vertical scaling, which for Kubernetes would mean assigning more resources (for example: memory or CPU) to the Pods that are already running for the workload.

Horizontal Pod Autoscaler (HPA) is a Kubernetes feature that automatically adjusts the replica counts of your Deployments and StatefulSets to match user demand. When demand peaks, the HPA starts new Pod replicas to ensure the additional traffic can be served reliably. Once the load decreases, the HPA scales the workload back again so cluster resources aren’t allocated unnecessarily.

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