Keywords:-

Keywords: Keywords: Microservices, Django REST Framework, decision-making, APIs

Article Content:-

Abstract

The growing complexity of modern software systems has made modularity a key factor in achieving scalability, maintainability, and flexibility. Traditional monolithic architectures often suffer from tight coupling, making it difficult to update, scale, or deploy individual components without affecting the entire system. This paper explores how Python-based microservices development can enhance system modularity by decomposing large applications into smaller, independent, and loosely coupled services. Leveraging Python’s simplicity, readability, and extensive ecosystem of frameworks such as Flask, FastAPI, and Django REST Framework, developers can design services that communicate through lightweight protocols, including RESTful APIs and message queues. The study also examines modern tools and practices such as Docker, Kubernetes, and Celery, which support containerization, orchestration, and asynchronous task management in distributed environments. Furthermore, it discusses challenges such as data consistency, inter-service communication, and security, offering effective strategies to mitigate them. By adopting a Python-based microservices architecture, organizations can achieve higher system modularity, faster development cycles, and improved scalability, ultimately aligning software design with contemporary DevOps and cloud-native principles.

References:-

References

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Ghodke, Y. K., & Kadadi, G. B. (2026). Enhancing System Modularity through Python-Based Micro services Development. International Journal Of Mathematics And Computer Research, 14(03), 106-109. https://doi.org/10.47191/ijmcr/v14iSPC3.22