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 an intro call with one of our engineers.

Book an intro call

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