Advanced Log Analysis Tools for Efficient Root Cause Identification
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Informative Article | Computer Engineering | United States of America | Volume 13 Issue 4, April 2024 | Popularity: 4.4 / 10


     

Advanced Log Analysis Tools for Efficient Root Cause Identification

Arnab Dey


Abstract: Log files serve as invaluable resources for troubleshooting and diagnosing software issues, yet the sheer volume and complexity of modern log data present significant challenges for developers and IT professionals. This paper presents an overview of advanced log analysis tools designed to facilitate efficient debugging and root cause identification in large - scale software systems. By harnessing the power of machine learning algorithms, distributed processing frameworks, and real - time monitoring techniques, these tools enable practitioners to navigate through massive log files, pinpoint anomalies, and expedite the resolution of critical issues. The paper explores key features, functionalities, and case studies of prominent log analysis tools, highlighting their effectiveness in accelerating problem resolution and enhancing system reliability.


Keywords: Log analysis, Debugging, Root cause identification, Machine learning, Distributed processing, Real - time monitoring


Edition: Volume 13 Issue 4, April 2024


Pages: 421 - 422


DOI: https://www.doi.org/10.21275/SR24401022444



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Arnab Dey, "Advanced Log Analysis Tools for Efficient Root Cause Identification", International Journal of Science and Research (IJSR), Volume 13 Issue 4, April 2024, pp. 421-422, https://www.ijsr.net/getabstract.php?paperid=SR24401022444, DOI: https://www.doi.org/10.21275/SR24401022444

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