1 year ago

Autoscaling refers to dynamically assigning resources to match an application’s changing demands. This means your cluster can increase or decrease the number of nodes available to match changes in resource requirements.

This article will review how Kubernetes autoscaling works, discuss the different https://thenewstack.io/k8s-resource-management-an-autoscaling-cheat-sheet/ methods Kubernetes provides and highlight potential errors that can arise during autoscaling.

To do so, we need to understand our resource availability and application requirements and assign resource limits accordingly.

For example, if a replica uses too much CPU, the Kubernetes cluster can scale up its CPU limit to accommodate it.