TRENDS IN THE DEVELOPMENT OF COMPUTER NETWORK MONITORING SYSTEMS IN THE MODERN WORLD
DOI: 10.31673/2412-4338.2025.048910
Abstract
Modern information and communication systems operate in the context of rapid digital transformation, driven by increasing traffic volumes, more complex network topologies, and the widespread adoption of cloud and microservice architectures. These trends generate a strong demand for high-precision and scalable monitoring platforms capable of ensuring real-time visibility, early incident detection, and reliable service continuity. This article provides an analytical overview of the most widely used monitoring platforms — Zabbix, Prometheus combined with Grafana, SolarWinds Network Performance Monitor, and Datadog. Their major features, architectural principles, data collection and aggregation models, alerting mechanisms, and practical use cases across corporate, DevOps, and cloud environments are examined.
Special attention is given to modern AI-driven approaches, including machine learning and neural network-based anomaly detection, load forecasting, and event correlation. The presented findings demonstrate that such techniques significantly reduce mean time to detect and localize incidents, lower false-positive alert rates, and support proactive infrastructure management. The article summarizes applied research results from 2024, which confirm reduced downtime, faster operational response, and improved SLA metrics once AI modules are integrated into monitoring workflows.
Key challenges of intelligent monitoring are highlighted, including the need for high-quality datasets, privacy and data governance issues, and the complexity of scaling analytical models. Overall, the article outlines current trends in network monitoring evolution, emphasizing the shift from static rule-based mechanisms to adaptive analytics and intelligent observability capable of supporting resilient digital infrastructures.
Keywords: network monitoring systems, network administration, artificial intelligence, neural networks, Zabbix, Prometheus, SolarWinds, Datadog.
