# uber kubernetes scaling

Published articles for uber kubernetes scaling.

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## Uber Separates Scaling Intent From Execution on Kubernetes Platform

DevFeed: [Uber Separates Scaling Intent From Execution on Kubernetes Platform](<https://devfeed.tech/articles/uber-separates-scaling-intent-from-execution-on-kubernetes-platform-60814.md>)

Original publisher: [Read original article](<https://www.infoq.com/news/2026/09/uber-kubernetes-scaling/>)

Author: Matt Saunders

Published: 2026-09-28T09:00:00Z

Content type: news

Language: en

Sources: [InfoQ](<https://devfeed.tech/sources/infoq.md>)

Topics: [Kubernetes](<https://devfeed.tech/topics/kubernetes.md>), [control-plane](<https://devfeed.tech/topics/control-plane.md>), [Cloud Architecture](<https://devfeed.tech/topics/cloud-architecture.md>)

Tags: [cloud](<https://devfeed.tech/tags/cloud.md>), [clusters](<https://devfeed.tech/tags/clusters.md>), [data-centres](<https://devfeed.tech/tags/data-centres.md>), [devops](<https://devfeed.tech/tags/devops.md>), [failover](<https://devfeed.tech/tags/failover.md>), [google](<https://devfeed.tech/tags/google.md>), [kubernetes](<https://devfeed.tech/tags/kubernetes.md>), [news](<https://devfeed.tech/tags/news.md>), [oracle](<https://devfeed.tech/tags/oracle.md>), [pod](<https://devfeed.tech/tags/pod.md>), [reuse](<https://devfeed.tech/tags/reuse.md>), [scaling](<https://devfeed.tech/tags/scaling.md>), [uber](<https://devfeed.tech/tags/uber.md>), [uber-kubernetes-scaling](<https://devfeed.tech/tags/uber-kubernetes-scaling.md>)

### AI overview

Uber's Service Scale Controller lets multiple orchestrators express scaling intent for the same Kubernetes workloads. The design supports regional failover by scaling down lower-tier workloads and using that capacity for higher-tier services, while keeping failover logic separate from the controller responsible for normal service operations.

### Source excerpt

Uber has published a detailed account of its new ServiceScale controller, which allows multiple orchestrators to safely manage the scaling of the same Kubernetes workloads. The blog post, written by senior software engineers Egor Grishechko and Srikar Paruchuru, describes how the company separated scaling intent from execution to support regional failover without carrying reserved idle capacity. By Matt Saunders