Datadog

A series on autoscaling Kubernetes workloads with Datadog metrics, covering external metrics, the DatadogPodAutoscaler, and when to use HPA or KEDA instead.

Need help with this in production? Book a consultation with our engineers now.

Talk to our engineers

Related topics

Latest posts with tag: Datadog

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....

Published on:

Written by:

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....

Published on:

Written by:

Avatar Louise Champ Louise Champ
Engineering • 13min read

Kubernetes Autoscaling: Using the DatadogPodAutoscaler

Learn how to consolidate Kubernetes pod autoscaling with the DatadogPodAutoscaler CRD....

Published on:

Written by:

Avatar Louise Champ Louise Champ
Engineering • 14min read

Kubernetes Autoscaling with Datadog External Metrics

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

Published on:

Written by:

Avatar Louise Champ Louise Champ
Engineering • 14min read

Kubernetes Autoscaling: Getting Started with Datadog

Learn how to scale Kubernetes workloads based on custom Datadog metrics using the Datadog Cluster Agent and Horizontal Pod Autoscaler...

Published on:

Written by:

Avatar Louise Champ Louise Champ