• Ankit

The article presents a research project discussing the method of scalable database optimization in Spring Boot microservices to overcome performance bottlenecks and maintain efficient performance at high loads. When databases are not designed to support distributed architecture, modern applications suffer as a result of the following challenges: latency, data inconsistency and limited scalability. In an effort to address these problems, the paper lays emphasis on query optimization, database indexing, caching, connection pooling, and NoSQL alternatives.

"Scalable Database Optimization Techniques in Spring Boot Microservices", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 8, page no.g295-g298, August-2025, Available :http://www.jetir.org/papers/JETIR2508637.pdf

"Scalable Database Optimization Techniques in Spring Boot Microservices", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 8, page no. ppg295-g298, August-2025, Available at : http://www.jetir.org/papers/JETIR2508637.pdf