TL;DR — Anomaly Detection System

Design an anomaly detection system that monitors thousands of time-series metrics and automatically detects anomalies. The system handles seasonal patterns, trend changes, and correlated metrics while minimizing false alerts. Key features: Ingest time-series metrics at high throughput. Detect point, contextual, and collective anomalies.