GuardX – Performance AI: Revolutionizing Application Performance Management

Authors

  • Akash Shah Financial Institute, Colorado,USA Author

DOI:

https://doi.org/10.63282/3050-9246.IJETCSIT-V6I1P108

Keywords:

GuardX – Performance, Management, AI and ML technologies

Abstract

Today's organizations must navigate numerous obstacles in application performance management because these challenges affect both business processes and user satisfaction levels. Fluctuating application performance results in subpar user experiences because of the lack of continuous monitoring and real-time insights, which impedes prompt issue diagnosis and resolution. The traditional approach to resolving problems often leads to inefficient processes that consume excessive time, while a lack of predictive capabilities prevents organizations from anticipating potential issues. GuardX represents an innovative AI solution created to tackle these operational problems. GuardX transforms application performance management by utilizing cutting-edge real-time monitoring and predictive analytics alongside automated issue resolution and intelligent insights. This paper analyzes GuardX's features, architecture, benefits, and real-world applications while showing how it delivers seamless performance through efficient operations

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References

[1] Brown, T., et al. (2020). Language Models are Few-Shot Learners. arXiv preprint arXiv:2005.14165.

[2] Dean, J., et al. (2012). Large Scale Distributed Systems at Google: Current Systems and Future Directions. The 3rd ACM SIGOPS Asia-Pacific Workshop on Systems Proceedings from APSys '12.

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[4] Marz, N., & Warren, J. (2015). Big Data: This publication provides essential guidelines and top methodologies for designing scalable real-time data systems. Manning Publications.

[5] Van der Aalst, W. M. P. (2016). Process Mining: Data Science in Action. Springer.

Published

2025-03-09

Issue

Section

Articles

How to Cite

1.
Shah A. GuardX – Performance AI: Revolutionizing Application Performance Management. IJETCSIT [Internet]. 2025 Mar. 9 [cited 2025 Apr. 29];6(1):64-73. Available from: https://ijetcsit.org/index.php/ijetcsit/article/view/101

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