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Noisy Neighbor Detection with eBPF

Noisy Neighbor Detection with eBPF

eBPF hooks track process state changes and CPU switches, enabling precise run queue latency measurement by storing timestamps in a hash map and calculating delays, while integrating cgroup IDs through RCU-protected kfuncs for detailed metrics which are then sent via ring buffer to a Go userspace app for analysis, revealing noisy neighbor issues by correlating latency spikes and preemptions in Atlas metrics.


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The FAUN

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The FAUN watches over the forest of developers. It roams between Kubernetes clusters, code caves, AI trails, and cloud canopies, gathering the signals that matter and clearing out the noise.
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