Kubernetes Autoscaling

by Datadog · Cloud infrastructure · New York, United States

Automatically rightsizes Kubernetes resources to reduce cloud spend while maintaining performance.

Kubernetes Autoscaling monitors Datadog telemetry signals to generate resource recommendations across Kubernetes workloads and clusters. It automates rightsizing with multidimensional workload scaling and pre-simulated instance type recommendations, reducing cloud spend while maintaining application performance. It is delivered as SaaS and used by platform and infrastructure engineering teams, integrating with Cloud Cost Management and Container Monitoring, with changes deployable in-app or via GitOps.

What Kubernetes Autoscaling does

What Kubernetes Autoscaling is used for

About Datadog

Integrated cloud monitoring, security and observability platform for infrastructure and applications.

Datadog in the vendor registry: its products, features and similar vendors.

Also by Datadog

More in this category: Cloud and infrastructure providers for financial services.

Weighing up Kubernetes Autoscaling? Create a free procurement account to run the question as a procurement: Datadog and the alternatives answer your requirements side by side, on the same terms.

Browse the product registry

Built by Vederca from public sources, last updated 2026-10-18.