Despite decades of R&D dedicated to Root Cause Analysis, along with numerous technology vendors who claim to offer it, the approach and concepts have been flawed.
Leading analysts like Gartner agree that Root Cause Analysis is still a people-dependent process. Furthermore, they recommend that IT Ops leaders leverage machine learning technology to provide contextualized information across the production stack, understand similarity in events from the past, and accommodate human interaction so that the algorithms can learn from human behavior over time.
Moogsoft’s Probable Root Cause is the first technique that can understand causality in unpredictable IT environments with a significant degree of certainty, and without reliance on a model.
In this webinar recording, Moogsoft executives Richard Whitehead and Robert Harper discuss this innovative approach to Root Cause Analysis, and how it can change the way your operations teams address IT incidents.
