eBay Inc.
ANOMALY DETECTION BY CORRELATED METRICS

Abstract:

A system is configured to detect a small, but meaningful, anomaly within one or more metrics associated with a platform being monitored. The system displays visuals of the metrics so that a user monitoring the platform can effectively notice a problem associated with the anomaly and take appropriate action to remediate the problem. Moreover, the system uses an ensemble of machine learning algorithms, with a multi-agent voting system, to detect the anomaly. Therefore, via the display of the visuals and the implementation of the machine learning algorithms, the techniques described herein provide an improved way of representing a large number of metrics (e.g., hundreds, thousands, etc.) being monitored for a platform. Moreover, the techniques are configured to expose actionable and useful information associated with the platform in a manner that can be effectively interpreted by a user.