AI-driven Alerting UX

Datadog is evolving its alerting UX by introducing AI-driven capabilities such as forecasting, anomaly detection, and outlier detection. These methods aim to move beyond static thresholds by adapting to changing conditions, predicting future metric states, and identifying deviations from normal behavior. Algorithmic feeds are also being explored as a way to surface anomalous and outlier behaviors without explicit user configuration, representing a significant shift from opt-in alerting.