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By: Meshkov Aleksandr.
Independent Researcher, Head of QA and AI Evaluation, “First Line Software”, Budva, Montenegro
This article introduces a structured and systematic approach to analyzing and localizing errors in modern web applications through an in-depth examination of logs collected at multiple system levels. The proposed methodology emphasizes a clear, step-by-step analysis strategy that guides developers and testers in identifying the source of application failures with greater precision and efficiency. It combines theoretical principles with practical recommendations, offering detailed guidance on how to handle different categories of logs such as servers, applications, browser, and network logs. In addition, the study explores a wide range of tools used for log analysis – from traditional command-line utilities, like grep, awk, and tail, to advanced monitoring and visualization platforms such as ELK Stack, Prometheus, and Grafana. The methodology has been thoroughly tested on real-world case studies, demonstrating remarkable accuracy and efficiency in diagnosing web system malfunctions. Overall, this work provides a comprehensive framework for enhancing the reliability, maintainability, and overall performance of web-based systems through systematic log analysis and intelligent error localization.
Web application testing, log analysis, error localization, debugging, system administration, DevOps, testing methodology
Citation:
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