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DEVELOPMENT OF ADAPTIVE SOFTWARE FOR EFFECTIVE DETECTION OF WEB SERVER ANOMALIES BASED ON ERGONOMIC ANALYSIS

Goryachkin Boris Sergeevich  (candidate of technical Sciences, associate Professor, Moscow State Technical University names Bauman)

Torzhkov Maxim Sergeevich  (Moscow State Technical University names Bauman)

Problem statement. In manual monitoring systems, the human factor plays a significant role in the stage of problem detection and decision-making, increasing the risks of overlooking critical changes in the system due to human errors or lack of attention. Goal. It is necessary to develop an alert system for monitoring the web server, optimally adapted to identify the most common problems. Result. The authors conducted an analysis, set limit values for alerts and experimentally substantiated their effectiveness. Particular attention is paid to assessing the effectiveness of the system in comparison with human monitoring. In addition, a recommended order for alerts has been established, which allows you to most effectively identify problems in accordance with established principles. Practical significance. These results can be used to optimize monitoring systems and timely respond to problems in the operation of the web server.

Keywords:monitoring, alert, metrics, ergonomics, CPU, RAM, optimization

 

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Citation link:
Goryachkin B. S., Torzhkov M. S. DEVELOPMENT OF ADAPTIVE SOFTWARE FOR EFFECTIVE DETECTION OF WEB SERVER ANOMALIES BASED ON ERGONOMIC ANALYSIS // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2024. -№03/2. -С. 39-45 DOI 10.37882/2223-2966.2024.3-2.06
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