# How we saved over $3 million in idle compute costs with Datadog Kubernetes Autoscaling

DevFeed: [How we saved over $3 million in idle compute costs with Datadog Kubernetes Autoscaling](<https://devfeed.tech/articles/how-we-saved-over-3-million-in-idle-compute-costs-with-datadog-kubernetes-autoscaling-2284.md>)

Original publisher: [Read original article](<https://www.datadoghq.com/blog/how-we-saved-with-kubernetes-autoscaling/>)

Author: Jacob Simonov; Danny Driscoll; Jesse Feinman; Sophie Wigmore

Published: 2026-06-25T00:00:00Z

Content type: article

Language: en

Sources: [Datadog | The Monitor blog](<https://devfeed.tech/sources/datadog-the-monitor-blog.md>)

Topics: [kubernetes autoscaling](<https://devfeed.tech/topics/kubernetes-autoscaling.md>), [autoscaling](<https://devfeed.tech/topics/autoscaling.md>), [Kubernetes](<https://devfeed.tech/topics/kubernetes.md>), [Cloud](<https://devfeed.tech/topics/cloud.md>), [migration](<https://devfeed.tech/topics/migration.md>), [configuration](<https://devfeed.tech/topics/configuration.md>), [cpu](<https://devfeed.tech/topics/cpu.md>), [data centers](<https://devfeed.tech/topics/data-centers.md>)

Tags: [autoscaling](<https://devfeed.tech/tags/autoscaling.md>), [cloud](<https://devfeed.tech/tags/cloud.md>), [compute](<https://devfeed.tech/tags/compute.md>), [cost](<https://devfeed.tech/tags/cost.md>), [cpu](<https://devfeed.tech/tags/cpu.md>), [data-centers](<https://devfeed.tech/tags/data-centers.md>), [guide](<https://devfeed.tech/tags/guide.md>), [kubernetes](<https://devfeed.tech/tags/kubernetes.md>), [kubernetes-autoscaling](<https://devfeed.tech/tags/kubernetes-autoscaling.md>), [memory](<https://devfeed.tech/tags/memory.md>), [migration](<https://devfeed.tech/tags/migration.md>), [platform](<https://devfeed.tech/tags/platform.md>), [post](<https://devfeed.tech/tags/post.md>), [production](<https://devfeed.tech/tags/production.md>), [reduce](<https://devfeed.tech/tags/reduce.md>), [resource](<https://devfeed.tech/tags/resource.md>), [scale](<https://devfeed.tech/tags/scale.md>), [tooling](<https://devfeed.tech/tags/tooling.md>)

## AI overview

Datadog describes how its Kubernetes Autoscaling system helped a platform team automate horizontal scaling and vertical resource rightsizing across a large production fleet. The migration addressed manual pod sizing, difficult-to-maintain scaling configurations, idle compute costs, and reliability risks, contributing to more than $3 million in annualized idle compute savings across Datadog.

## Source excerpt

See how how multidimensional autoscaling reduced overprovisioning and mitigated reliability risks at scale.