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Gray Failure Detection

1 post · Sep 2026

What this trail covers

This post introduces RADAR, a new capability for detecting 'gray failures' using anomaly detection. Gray failures are subtle issues that don't cause outright system outages but degrade performance or reliability. RADAR aims to proactively identify these issues by analyzing system metrics and identifying deviations from normal behavior, enabling engineers to address them before they escalate.

All Databricks trails
  1. RADAR: Catch gray failures with anomaly detectionThis 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.