Published Paper Details:

The rapid growth of e-commerce platforms has driven the need for more scalable, resilient, and flexible architectures. Microservices architecture (MSA) has emerged as a key solution to address these challenges by decentralizing system components into independent services, each responsible for specific business functions. This review explores the impact of microservices on e-commerce platforms, emphasizing improvements in performance, scalability, and operational efficiency. We present a proposed model that integrates decentralized data management, event-driven communication, real-time data processing, and machine learning to optimize system performance. Through a comparative analysis, we demonstrate how the proposed model outperforms existing architectures, such as monolithic and hybrid systems, in areas like scalability, latency, and resource utilization. The review also discusses the implications for practitioners and policymakers, offering recommendations for future research in areas like machine learning integration, data consistency, and economic impact. This paper aims to inform researchers, decision-makers, and industry professionals about the latest advancements in microservices for e-commerce, providing valuable insights into the development of more reliable, scalable, and efficient e-commerce platforms.