Optimizing Microservices Architecture: A Comprehensive Study on Resolving Complexity in Billing Systems
Bashir Lawal, Mehak Memon, Christopher Howard, Somtochukwu Anunobi · 2024
This study enhances microservices architecture optimization by introducing a novel approach that increases scalability and reduces complexity, particularly for billing systems. Through the implementation of a refined microservices framework, this research demonstrates significant improvements in system performance and manageability. Utilizing Java Spring Boot and Docker for the development and deployment of individual microservices, the system achieved marked enhancements in handling dynamic user demands and complex data workflows. Performance benchmarking revealed that the optimized system meets the needs of the industry-standard performance metrics, with advanced feature prototype showing a 20% improvement in memory efficiency and a 15% increase in CPU usage efficiency under peak load conditions compared to the traditional microservice architecture. Furthermore, the adoption of Domain-Driven Design (DDD) and event-driven communication has strategically addressed common issues related to service integration and data consistency, presenting a robust solution tailored to modern billing operations. This research contributes to the academic and practical discourse on microservices by providing a tested blueprint for scalable, flexible architecture that significantly mitigates the operational complexities often associated with large-scale billing systems. The implications of this study are broad, suggesting that similar approaches could be effectively applied in other sectors requiring dependable and scalable software solutions, thus paving the way for future innovations in microservices technology.