Why Most Anomaly Detection Alerts Miss the Mark: The Hidden Bayesian Truth
This article explores how modern monitoring at Alibaba integrates data science and machine learning to define anomalies, reviews major detection techniques, examines challenges like seasonality, heteroscedasticity and complex cycles, evaluates detection performance with ROC analysis, and reveals why alerts often have only a 2% chance of indicating a true anomaly.
