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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM47034

Optimizing Performance in Java-Based Full Stack Applications

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM47034

Volume:

9 |

5 |

May 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

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

AMG

A Monish Gowda

DM

Dumpa Mahendra

IAJ

Impana A J

MMS

Mithali M S

MJM

Mrs Jayashri M

MSGDC

Mr Surendranath Gowda D C

MSRG

Mrs Sowmya Rani G

MD

Mrs.Ranjani Devi

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Abstract

In the era of dynamic, highly interactive web applications, the performance of full-stack applications has become a critical factor for developers and businesses. Java, one of the most widely used programming languages for building enterprise-level applications, provides a robust framework for both back-end and front-end development. However, optimizing the performance of Java-based full-stack applications remains a complex task, involving various layers of the stack, such as database optimization, server-side processing, API response times, and front-end rendering. This research explores different strategies and techniques to enhance the performance of Java-based full-stack applications, with a focus on improving throughput, response time, and scalability. By evaluating best practices, architectural design patterns, and performance tools, the paper provides a comprehensive guide to developers seeking to optimize their Java-based applications for both performance and scalability. This paper includes performance benchmarking and case studies, comparing different optimization strategies and their real-world impact.

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Cite This Article

A Monish Gowda, Dumpa Mahendra, Impana A J, Mithali M S, Mrs Jayashri M, Mr Surendranath Gowda D C, Mrs Sowmya Rani G, Mrs.Ranjani Devi, "Optimizing Performance in Java-Based Full Stack Applications," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 5, May 2025.

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Publication Date

5/6/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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5

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

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