Observability’s Sixth Sense: Detecting Anomalies in Metrics

The talk explores anomaly detection as a complementary way of working with metrics. Instead of relying on predefined limits, anomaly detection focuses on identifying behavior that deviates from what is normally observed over time. Using a short, live walkthrough with real metric data, the session shows how anomalies can surface gradual changes, unusual patterns, and subtle shifts that are easy to miss in dashboards. It focuses on how developers can interpret these signals, where anomaly detection is useful, and where it is not. The session is exploratory and practical, aimed at developers who work with metrics and want additional ways to understand system behavior without introducing complex models or heavy tooling.