The article examines a new class of IT infrastructure monitoring systems that has been actively emerging in the last decade, the key feature of which is the widespread use of methods and techniques for working with big data. Depending on the market positioning, the systems under study are known under such names as AIOps, observability platform, all-in-one monitoring, umbrella monitoring. In their review of existing foreign and domestic commercial solutions, the authors focus on the use of big data methods in them. Based on the review, a classification of such products is proposed, which makes it possible to streamline the existing diversity and select the most suitable system for the tasks facing the organization in the field of monitoring an increasingly complex IT infrastructure. The relevance of the study is due to the lack of classification of the objects under study due to their relative novelty and pronounced practical nature.

Keywords: monitoring system, IT infrastructure, observability platform, AIOps, big data, machine learning