RADAR: Catch gray failures with anomaly detection

This post details the development of RADAR, a system for detecting gray failures through anomaly detection. It describes the challenges of identifying subtle failures that don't trigger traditional alerts. The system likely involves collecting and analyzing time-series metrics from various system components, applying anomaly detection algorithms (e.g., statistical methods, machine learning models) to identify deviations, and establishing thresholds or patterns that indicate a gray failure. The goal is to provide early warnings for performance degradations or reliability issues that might otherwise go unnoticed.