For decades, Root Cause Analysis (RCA) has been a core focus for ITOps, and now DevOps, professionals. The term refers to the range of approaches and techniques focused on identifying the original event(s) that led to an IT incident. Nearly every IT monitoring and management vendor offers some form of RCA, yet IT organizations are still reactive in addressing incidents. The reason is that the traditional approach to RCA is flawed, due to core assumptions that modern IT environments can be modeled, and there should be a single Root Cause.

In reality, you can’t model what you haven’t seen before. Furthermore, today’s major outages typically have multiple Root Causes. That’s why modern IT organizations need to adopt a machine-learning-driven approach to isolating the Root Cause of an incident. By doing so, IT Ops and DevOps can benefit from automating the correlation of massive event volumes combined with analytics based on user-supplied feedback.

Introducing Probable Root Cause, a Webinar

On Wednesday, October 12th at 9am (PT), Moogsoft will host a webinar to present an innovative approach to IT incident management known as Probable Root Cause.

Probable Root Cause (PRC) is the first technique that can understand causality in unpredictable IT environments with a significant degree of certainty, and without reliance on a model.

For more about Probable Root Cause, read this post on the Moogsoft blog: “Moogsoft Introduces Probable Root-Cause.”

To attend our upcoming webinar, please sign up here:


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