• Harish Reddy Bonikela
• Prof.(Dr) Avneesh Kumar

Web application performance, and more specifically API response times, is a central component of user experience and system performance. The last decade has seen a large volume of research aimed at web application performance optimization, dealing with multiple factors that cause slow API responses. This literature review synthesizes research from 2015 through 2024 and identifies approaches that have been researched to combat API latency and optimize end-to-end application performance. The major approaches include caching methods, asynchronous computation, serverless computing, and the implementation of next-generation network protocols such as HTTP/2 and QUIC. The utilization of machine learning, predictive scaling, and edge computing has also been identified as leading methodologies in the optimization of resource allocation and response time minimization. Despite these advances, there are considerable research gaps, especially related to the implementation of next-generation technologies such as AI-based predictive analytics, dynamic routing of APIs, and real-time adaptive systems that learn to adjust to shifting traffic patterns. In addition, the scope of hybrid cloud models and scalability of microservices for API optimization is inadequately researched. There is also limited comprehensive research on the interaction between various optimization methods when implemented simultaneously in complex, multi-layered systems. Closing these gaps is instrumental in advancing the development of more resilient, scalable, and efficient web applications that can keep up with increasing demands from modern users. This paper is intended to highlight these gaps while establishing a framework for future research towards further API performance enhancement.

API response time optimization, web application performance, caching mechanisms, serverless architectures, HTTP/2, QUIC protocol, machine learning, predictive scaling, edge computing, hybrid cloud, microservices, dynamic routing, latency reduction, performance tuning.

"Web Performance Optimization: Reducing API Response Times and Boosting Application Speed", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 2, page no.h870-h887, February-2025, Available :http://www.jetir.org/papers/JETIR2502794.pdf

"Web Performance Optimization: Reducing API Response Times and Boosting Application Speed", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 2, page no. pph870-h887, February-2025, Available at : http://www.jetir.org/papers/JETIR2502794.pdf