Machine Learning with the Elastic Stack - Second Edition

Chapter 7: AIOps and Root Cause Analysis

Up until this point, we have extensively explained the value of detecting anomalies across metrics and logs separately. This is extremely valuable, of course. In some cases, however, the knowledge that a particular metric or log file has gone awry may not tell the whole story of what is going on. It may, for example, be pointing to a symptom and not the cause of the problem. To have a better understanding of the full scope of an emerging problem, it is often helpful to look holistically at many aspects of a system or situation. This involves smartly analyzing multiple kinds of related datasets together.

In this chapter, we will cover the following topics:

• Demystifying the term ''AIOps''
• Understanding ...