Behavior Profiling

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In the context of AIOps, behavior profiling uses machine learning to profile behavior in system performance. Because system behavior can vary over time due to normal business requirements (e.g. due to bi-monthly payroll processing, month-end financial reporting, etc.), the use of behavior profiling helps establish dynamic for detecting real anomalies and generating incident alerts that are more meaningful and relevant than the alerts generated by traditional monitoring tools, which rely instead on static thresholds. See also Alert Fatigue, Dynamic Threshold.

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