---
title: "Prometheus"
description: "1 posts about Prometheus, summarised, each linking to the original."
---

# Prometheus
> 1 posts about Prometheus, summarised, each linking to the original.

## Articles

### [Stop wasting GPU allocation in Kubernetes with GPU-pruner](https://yomu.fyi/post/stop-wasting-gpu-allocation-in-kubernetes-with-gpu-pruner.md)
- Company: [Red Hat](https://yomu.fyi/company/red-hat.md)
- Author: Fahim Uddin
- Published: Aug 31, 2026

GPU-pruner addresses idle GPU allocation in Kubernetes by identifying workloads whose hardware activity remains below a configured threshold, rather than relying on browser sessions, network traffic, or pod lifetime. It queries Prometheus for NVIDIA Data Center GPU Manager metrics, including engine activity and GPU utilization, and treats peak performance below 1% throughout a default 35-minute observation window as idle. After tracing an idle pod through ownerReferences or KServe labels, it scales the parent resource to zero, preserving workload metadata for later restoration. Slack notifications, grace periods, lookback checks, and dry-run mode provide safeguards, while Prometheus label handling must preserve the workload namespace and pod identity in DCGM telemetry.