Performance Optimization Strategies for High-Concurrency Spring Boot Microservices in Enterprise Financial Systems

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Published: Dec 31, 2023
DOI: https://doi.org/10.58812/esiscs.v1i02.883
Keywords:
Financial Transactions; High-Concurrency Systems; JVM Tuning; Microservices; Performance Optimization; Spring Boot

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Kamalakar Reddy Singi
Department of Information Technology, Valparaiso University, Valparaiso, IN, USA

Abstract

This paper investigates performance optimization strategies for Spring Boot–based microservices deployed in high-concurrency enterprise financial transaction systems. Although microservices improve modularity and scalability, financial workloads expose bottlenecks related to database contention, synchronous execution, and Java Virtual Machine (JVM) resource management. A coordinated, multi-layer performance optimization framework is proposed, addressing application-level, data-access-level, and runtime-level challenges. The framework is validated using a simulated high-concurrency financial transaction workload. Experimental results demonstrate improved response time, higher throughput, enhanced runtime stability, and reduced error rates under peak load conditions.

Article Details

How to Cite
Singi, K. R. (2023). Performance Optimization Strategies for High-Concurrency Spring Boot Microservices in Enterprise Financial Systems. The Eastasouth Journal of Information System and Computer Science, 1(02), 215–231. https://doi.org/10.58812/esiscs.v1i02.883
Issue
Vol. 1 No. 02 (2023): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Section
Articles
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This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

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