DECISION SUPPORT SYSTEM BASED ON DIGITAL INFRASTRUCTURE MONITORING

Abstract The article discusses the design and implementation of a decision support system (DSS) integrated with an enterprise's digital infrastructure monitoring system. The aim of the project is to develop a software solution that provides event analysis, fault prediction, and optimal management actions based on formalized criteria. The system is implemented as a client-server web application using Python, Flask, and PostgreSQL technologies, as well as integration with an external monitoring system. The solution is based on the methods of multi–alternative analysis (AHP, WSM) and probability density estimation (Parsen-Rosenblatt method). The conducted tests confirm the effectiveness of the proposed approach in managing the OTT infrastructure in real time.