How Alibaba Scales Anomaly Detection Across Millions of Metrics

This article explains how Alibaba tackles anomaly detection for tens of millions of metrics in a 100‑thousand‑machine cluster by comparing vertical time‑series methods with horizontal clustering, choosing DBSCAN for large‑scale monitoring, and detailing the ETL, computation, and visualization pipeline.

DBSCANTime Seriesanomaly detection

0 likes · 6 min read

How Alibaba Scales Anomaly Detection Across Millions of Metrics