Optimizing Performance in Java-Based Full Stack Applications
A Monish Gowda
Final year student, Dept of CSE,
Sea College of Engineering & Technology
Dumpa Mahendra
Final year student, Dept of CSE,
Sea College of Engineering & Technology
Impana A J
Final year student, Dept of CSE,
Sea College of Engineering & Technology
Mithali M S
Final year student, Dept of CSE,
Sea College of Engineering & Technology
Mrs Jayashri M
Assistant Professor Dept of CSE
SEA College of Engineering & Technology
Mr Surendranath Gowda D C
Assistant Professor Dept of CSE
SEA College of Engineering & Technology
Mrs Sowmya Rani G
Assistant Professor Dept of CSE
SEA College of Engineering & Technology
Mrs.Ranjani Devi
Assistant Professor Dept of CSE
SEA College of Engineering & Technology
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.
Keywords
Database Optimization, API Performance, Java EE(Enterprise Edition), Spring Framework, Hibernate, Microservices
