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zalando-incubator/kube-metrics-adapter

General purpose metrics adapter for Kubernetes HPA metrics

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What it does

This project automatically adjusts how many copies of an app are running based on real-time data like website traffic, queue sizes, or other business signals — scaling up when demand is high and down when it's low. It acts as a bridge that feeds performance data into Kubernetes (the system most modern cloud apps use to manage their software), enabling smarter, automated capacity decisions.

Why it matters

Automatic scaling directly impacts infrastructure costs and user experience — over-provisioning wastes money, while under-provisioning leads to outages during traffic spikes. For product and engineering leaders, this kind of tooling means teams can confidently handle growth without manually babysitting servers, reducing operational risk and freeing engineers to focus on features.

13Active

On the radar — signal detected

Stars
541
Forks
116
Contributors
52
Language
Go

Score updated Feb 19, 2026

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