HPA

Hands-on guides to the Kubernetes Horizontal Pod Autoscaler, covering the basics, custom and external metrics, and the Prometheus Adapter.

Pods only release cost when the nodes scale down with them. Karpenter and Spot Instances saved one enterprise client around $2.4M a year.

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Latest posts with tag: HPA

Engineering • 17min read

Datadog Kubernetes Autoscaling: Choosing the Right Tool

A use-case-driven guide to choosing between HPA + Cluster Agent, DatadogPodAutoscaler, and KEDA for Kubernetes autoscaling on Datadog metrics....

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Avatar Louise Champ Louise Champ
Engineering • 15min read

Kubernetes Autoscaling with Datadog: HPA or KEDA?

A practical comparison of HPA with Datadog Cluster Agent versus KEDA for Kubernetes autoscaling, with working configurations and a decision guide....

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Avatar Louise Champ Louise Champ
Engineering • 6min read

Leveraging Kubernetes HPA and Prometheus Adapter

Learn how to scale Kubernetes deployments using Prometheus metrics with the Horizontal Pod Autoscaler (HPA)...

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Avatar Louise Champ Louise Champ
Engineering • 11min read

Set up Kubernetes scaling via Prometheus & Custom Metrics

Learn how to scale Kubernetes workloads based on custom Prometheus metrics using the Prometheus Adapter and Horizontal Pod Autoscaler...

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Avatar Louise Champ Louise Champ
Engineering • 8min read

How to use Custom & External Metrics for Kubernetes HPA

An introduction to scaling Kubernetes workloads with application-aware metrics using Metrics Adapters and Horizontal Pod Autoscaling...

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Avatar Louise Champ Louise Champ
Engineering • 9min read

Introduction to Horizontal Pod Autoscaling in Kubernetes

How to configure Horizontal Pod Autoscaling in Kubernetes for responsive, efficient scaling...

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Written by:

Avatar Louise Champ Louise Champ