Introducing outlier detection in Datadog

Datadog is introducing outlier detection, a feature that automatically identifies hosts behaving abnormally compared to their peers. This allows users to set alerts without choosing fixed thresholds for "anomalous" metrics and run statistical analysis in real-time on all hosts to determine baseline values. Outlier detection can be used to identify problem hosts, automate alerts, and provide a comprehensive overview of monitored infrastructure. The feature is available with two algorithms: DBSCAN and MAD, and can be easily integrated into dashboards and monitors for added value in monitoring and alerting toolkits.

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