Microservices and Real-Time Processing in Retail IT: A Review of Open-Source Toolchains and Deployment Strategies
Aaditaa Vashisht (Department of Information Science, Engineering, RV College of Engineering, India), Rekha B S (Department of Information Science, Engineering, RV College of Engineering, India)

TL;DR
This review examines how open-source tools like Kafka, Spring Boot, MongoDB, and Kubernetes enable scalable, real-time, microservices-based architectures in retail IT, highlighting their roles in enhancing system resilience and analytics.
Contribution
It systematically synthesizes recent research and industry practices on deploying microservices and real-time processing tools in retail, offering a comprehensive overview of current strategies.
Findings
Kafka and Spring Boot enable low-latency, event-driven applications.
MongoDB on Kubernetes provides fault tolerance and high availability.
Kubernetes automates deployment and scaling of microservices.
Abstract
With the rapid pace of digital transformation, the retail industry is increasingly depending on real-time, scalable, and resilient systems to manage financial transactions, analyze customer behavior, and streamline order processing. This literature review explores how modern event-driven and microservices-based architectures, particularly those leveraging Apache Kafka, Spring Boot, MongoDB, and Kubernetes are transforming retail and financial systems. By systematically reviewing academic publications, technical white papers, and industry reports from recent years, this study synthesizes key themes and implementation strategies. The analysis reveals that technologies like Kafka and Spring Boot are instrumental in building low-latency, event-driven applications that support real-time analytics and fraud detection, while MongoDB, when deployed on Kubernetes, ensures fault tolerance and…
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Taxonomy
TopicsSoftware System Performance and Reliability · Big Data and Business Intelligence · Cloud Computing and Resource Management
