Machine Learning-based Anomaly Detection

Download this manual as a PDF file

This section provides an overview of machine learning-based anomaly detection in SL1, including how it works and what it can do.

Machine learning-based anomaly detection is available as part of an SL1 Premium solution. To upgrade, contact ScienceLogic Customer Support. For more information, see https://sciencelogic.com/pricing.

To use machine learning-based anomaly detection, you must be running SL1 on the SL1 Extended Architecture, and you must also enable the Collector Pipeline to collect data from Performance Dynamic Applications. For more information, see the sections on Installing SL1 and SL1 Extended on Hardware Appliances and Virtual Appliances and Enabling Collector Pipeline in SL1 Extended Architecture.

The following image shows the Anomalies widget from a Business Service page, which displays devices within the selected service that have anomaly detection enabled: