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1710161PublishedVol 9 · Issue 2

Log Analyzer

Sangeeta Sinha

Subject area: Science,Engineering and Technology  ·  Area of research: Log Analyzer

Abstract

Log Analyzer utility is a python utility which provides web-service response time metrics for all the transactions processed by the application in specified duration. It parses the application logs to identify the response time logs, processes all the data from all the servers and provides minimum, average, maximum, percentile and outliers details broken down at transaction type as well as at server level. This paper is created to get familiar with Log Analyzer Utility & understand the usage so that if any other application requires similar solution, the utility can be customized for other applications & be utilized.

Keywords

Python, Web Service, Response Time, Load Balancer, Load Runner, Load Test, Load Generator, Batch Server, Percentile Response Time.

How to cite this paper

Sangeeta Sinha "Log Analyzer" Iconic Research And Engineering Journals Volume 9 Issue 2 2025 Page 823-829
Sangeeta Sinha "Log Analyzer" Iconic Research And Engineering Journals, vol. 9, no. 2, Aug. 2025
Sangeeta Sinha (2025). Log Analyzer. Iconic Research And Engineering Journals, 9(2).
Sangeeta Sinha "Log Analyzer" Iconic Research And Engineering Journals, vol. 9, no. 2, Aug. 2025.
@article{1710161,
      author = {Sangeeta Sinha},
      title = {Log Analyzer},
      journal = {Iconic Research And Engineering Journals},
      year = {2025},
      volume = {9},
      number = {2},
      pages = {823-829},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1710161.pdf},
      abstract = {Log Analyzer utility is a python utility which provides web-service response time metrics for all the transactions processed by the application in specified duration. It parses the application logs to identify the response time logs, processes all the data from all the servers and provides minimum, average, maximum, percentile and outliers details broken down at transaction type as well as at server level. This paper is created to get familiar with Log Analyzer Utility & understand the usage so that if any other application requires similar solution, the utility can be customized for other applications & be utilized.},
      keywords = {Python, Web Service, Response Time, Load Balancer, Load Runner, Load Test, Load Generator, Batch Server, Percentile Response Time.},
      month = {August},
  }