Alert correlation and noise reduction

Modern application systems are noisy - they generate large amounts of telemetry. When a part of such a system fails, we often see numerous alerts generated by different monitors and log producers. Throwing all of these alerts at Ops Teams simply leads to Cognitive Overload and Alert Fatigue. The net result is that important Alerts get lost amidst the noise and systems fail.

Intelligeni uses a set of Graph-based algorithms, its Computational QoS Model as well as a set of Machine Learning models to separate important signals from noise, coalesce related alerts and generate Scenarios - Intelligeni's version of calls to action.

In most systems, Intelligeni achieves between 10-13x noise reduction and improves alert detection by at least 30%.