Low-Latency Web APIs in High-Transaction Systems: Design and Benchmarking

In the age of digital immediacy, where user experience hinges on speed and responsiveness, the performance of web APIs can significantly affect an organization’s ability to scale and retain users. Particularly in high-transaction systems such as e-commerce, fintech, and online gaming, a few milliseconds of delay can compound into large-scale inefficiencies and lost revenue. This paper presents a comprehensive framework for building, optimizing, and benchmarking low-latency APIs designed to withstand the demands of high-frequency operations. By exploring architectural decisions, async paradigms, caching strategies, and detailed performance metrics, we provide technical guidance and practical results for engineering teams aiming to deliver resilient, real-time web services.

Authors

Publication Details

Journal
International Journal of Computational and Experimental Science and Engineering
Published
2025-08-08
DOI
https://doi.org/10.22399/ijcesen.3646
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
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article

Low-Latency Web APIs in High-Transaction Systems: Design and Benchmarking

Sesha Sai Sravanthi Valiveti
International Journal of Computational and Experimental Science and Engineering
Cloud Computing and Resource Management
article

Low-Latency Web APIs in High-Transaction Systems: Design and Benchmarking

Sesha Sai Sravanthi Valiveti
article en

Abstract

In the age of digital immediacy, where user experience hinges on speed and responsiveness, the performance of web APIs can significantly affect an organization’s ability to scale and retain users. Particularly in high-transaction systems such as e-commerce, fintech, and online gaming, a few milliseconds of delay can compound into large-scale inefficiencies and lost revenue. This paper presents a comprehensive framework for building, optimizing, and benchmarking low-latency APIs designed to withstand the demands of high-frequency operations. By exploring architectural decisions, async paradigms, caching strategies, and detailed performance metrics, we provide technical guidance and practical results for engineering teams aiming to deliver resilient, real-time web services.

International Journal of Computational and Experimental Science and EngineeringVol. 11(3)
Industry, innovation and infrastructure
Openalex Percentile: Top 69%
Cloud Computing and Resource Management
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