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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM37217

Observability and Monitoring for Front-End: A Holistic Approach to Logging, Tracing, and Metrics with the Advent of AI

Stream/Area:

-

Subject:

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Paper ID:

10.55041/IJSREM37217

Volume:

8 |

8 |

Aug 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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10.55041/IJSREM37217

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

VPKV

Venkata Padma Kumar Vemuri

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Abstract

This paper explores the concept of observability in the context of front-end applications, examining traditional methods like logging, tracing, and metrics, and how AI is revolutionizing this field. It discusses the challenges and limitations of using AI for front-end observability and monitoring, and the future trends and potential of AI in this domain. It also includes an architecture workflow for an Observability and Monitoring system.

KEYWORDS

Observability monitoring frontend logging tracing metrics AI

Cite This Article

Venkata Padma Kumar Vemuri, "Observability and Monitoring for Front-End: A Holistic Approach to Logging, Tracing, and Metrics with the Advent of AI," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 8, Aug 2024. https://doi.org/10.55041/IJSREM37217

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8/26/2024

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Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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