A Dataset-Aware Drift-Robust Log Anomaly Detection Pipeline for Cloud Service Reliability
Cloud services require continuous log monitoring to detect failures before outages occur. Most log anomaly detectors rely on fixed event identifiers or templates, which degrade as services evolve, parsers change, and new templates appear, leading to a mismatch between offline accuracy and online reliability. We propose...