Detection & alerting use cases

White papers on detection and alerting patterns — volume outliers on the Splunk license usage with the Volume Outliers component, who is doing what on your Splunk with User Activity Monitoring (Beta), event-drop detection, log-level behaviour anomalies with Machine Learning, and building a two-tier SLA alerting system.

• Volume outliers on the Splunk license usage with Volume Outliers (VOL)
• Who is doing what on your Splunk? User Activity Monitoring (UAM)
• Use TrackMe to detect abnormal events count drop in Splunk feeds
• Analyse log messages logging level to detect behaviour anomalies using TrackMe’s Flex Object and Machine Learning Anomaly Detection
• Using SLA alerting to build a 2-tier monitoring system