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A Guide to Horizontal Pod Autoscaler

A Guide to Horizontal Pod Autoscaler

The Horizontal Pod Autoscaler (HPA) in Kubernetes automatically adjusts the number of pod replicas based on observed CPU utilization or other select metrics, such as memory. The calculation for determining the desired number of replicas takes into account the current number of replicas, current metric values, and desired metric values set in the HPA configuration. Adjusting HPA settings based on fixed and variable usage of metrics can help optimize scaling decisions for better performance and cost efficiency in Kubernetes deployments.


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The FAUN watches over the forest of developers. It roams between Kubernetes clusters, code caves, AI trails, and cloud canopies, gathering the signals that matter and clearing out the noise.
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