Modular Monoliths in Practice: A Middle Ground for Growing Product Teams

Authors

  • Kiran Kumar Pappula Independent Researcher, USA. Author

DOI:

https://doi.org/10.63282/3050-9246.IJETCSIT-V3I4P106

Keywords:

Modular Monoliths, Software Architecture, Microservices, Domain-Driven Design, Refactoring, Monolithic Systems, Modularization

Abstract

In the contemporary landscape of software development, the debate between monolithic and microservices architecture continues to dominate technical discourse. This paper explores Modular Monoliths as a pragmatic and scalable alternative to traditional microservices for product teams that are expanding rapidly. While microservices promise scalability and autonomy, they introduce substantial complexity in orchestration, deployment, and operational overhead, particularly for mid-sized organizations or those in early product maturity stages. Modular monoliths allow developers to embrace the core benefits of modular design and separation of concerns without incurring the full overhead of distributed systems. This paper presents a deep dive into architectural patterns, refactoring strategies, domain-driven modularization, and tooling techniques that facilitate scalable modular monoliths. We examine real-world use cases and industry experiences to validate this architecture as a suitable middle ground for growing product teams. The work further details the systematic methodology, including domain decomposition, interface enforcement, module boundaries, and integration tests. A case study of an e-commerce platform demonstrates our approach, followed by comparative evaluations against microservices and traditional monoliths across dimensions such as deployment complexity, development velocity, and maintainability. Quantitative metrics reveal significant gains in cohesion, reduced latency in inter-module calls, and improved developer experience. Ultimately, this paper contributes practical insights, a reference methodology, and actionable guidelines for adopting modular monoliths as a strategic stepping stone towards eventual service-based evolution

Downloads

Download data is not yet available.

References

[1] Ren, Z., Wang, W., Wu, G., Gao, C., Chen, W., Wei, J., & Huang, T. (2018, September). Migrating web applications from a monolithic structure to a microservices architecture. In Proceedings of the 10th Asia-Pacific Symposium on Internetware (pp. 1-10).

[2] Evans, E. (2004). Domain-driven design: Tackling complexity in the heart of software. Addison-Wesley Professional.

[3] Vernon, V. (2013). Implementing domain-driven design. Addison-Wesley.

[4] Gonçalves, N., Faustino, D., Silva, A. R., & Portela, M. (2021, March). Monolith modularization towards microservices: Refactoring and performance trade-offs. In 2021 IEEE 18th International Conference on Software Architecture Companion (ICSA-C) (pp. 1-8). IEEE.

[5] Brandolini, A. (2013). Introducing event storming. blog, Ziobrando’s Lair, 18.

[6] Bass, L. (2012). Software architecture in practice. Pearson Education India.

[7] Newman, S. (2019). Monolith to microservices: evolutionary patterns to transform your monolith. O'Reilly Media.

[8] Taibi, D., Lenarduzzi, V., & Pahl, C. (2018). Architectural patterns for microservices: a systematic mapping study. In CLOSER 2018: Proceedings of the 8th International Conference on Cloud Computing and Services Science; Funchal, Madeira, Portugal, 19-21 March 2018. SciTePress.

[9] Fritzsch, J., Bogner, J., Wagner, S., & Zimmermann, A. (2019, September). Microservices migration in industry: Intentions, strategies, and challenges. In 2019 IEEE International Conference on Software Maintenance and Evolution (ICSME) (pp. 481-490). IEEE.

[10] Gravanis, D., Kakarontzas, G., & Gerogiannis, V. (2021, November). You don't need a Microservices Architecture (yet). Monoliths may be the solution in "Proceedings of the 2021 European Symposium on Software Engineering" (pp. 39-44).

[11] Vernon, V., & Jaskula, T. (2021). Strategic monoliths and microservices: driving innovation using purposeful architecture. Addison-Wesley Professional.

[12] Millett, S., & Tune, N. (2015). Patterns, principles, and practices of domain-driven design. John Wiley & Sons.

[13] Kapferer, S., & Zimmermann, O. (2020, February). Domain-specific Language and Tools for Strategic Domain-driven Design, Context Mapping and Bounded Context Modeling. In MODELSWARD (pp. 299-306).

[14] Evans, E. (2014). Domain-driven design reference: Definitions and pattern summaries. Dog Ear Publishing.

[15] Mosleh, M., Dalili, K., & Heydari, B. (2016). Distributed or monolithic? A computational architecture decision framework. IEEE Systems journal, 12(1), 125-136.

[16] Heydari, B., Mosleh, M., & Dalili, K. (2016). From modular to distributed open architectures: A unified decision framework. Systems Engineering, 19(3), 252-266.

[17] Newman, S. (2021). Building microservices: designing fine-grained systems. " O'Reilly Media, Inc.".

[18] Wolff, E. (2016). Microservices: flexible software architecture. Addison-Wesley Professional.

[19] Pianini, D., & Neri, A. (2021, September). Breaking down monoliths with Microservices and DevOps: an industrial experience report. In 2021 IEEE International Conference on Software Maintenance and Evolution (ICSME) (pp. 505-514). IEEE.

[20] Wang, Y., Kadiyala, H., & Rubin, J. (2021). Promises and challenges of microservices: an exploratory study. Empirical Software Engineering, 26(4), 63.

[21] Kalske, M. (2017). Transforming monolithic architecture towards microservice architecture. University of Helsinki.

[22] Rahul, N. (2020). Optimizing Claims Reserves and Payments with AI: Predictive Models for Financial Accuracy. International Journal of Emerging Trends in Computer Science and Information Technology, 1(3), 46-55. https://doi.org/10.63282/3050-9246.IJETCSIT-V1I3P106

[23] Enjam, G. R., & Chandragowda, S. C. (2020). Role-Based Access and Encryption in Multi-Tenant Insurance Architectures. International Journal of Emerging Trends in Computer Science and Information Technology, 1(4), 58-66. https://doi.org/10.63282/3050-9246.IJETCSIT-V1I4P107

[24] Pedda Muntala, P. S. R. (2021). Prescriptive AI in Procurement: Using Oracle AI to Recommend Optimal Supplier Decisions. International Journal of AI, BigData, Computational and Management Studies, 2(1), 76-87. https://doi.org/10.63282/3050-9416.IJAIBDCMS-V2I1P108

[25] Rahul, N. (2021). AI-Enhanced API Integrations: Advancing Guidewire Ecosystems with Real-Time Data. International Journal of Emerging Research in Engineering and Technology, 2(1), 57-66. https://doi.org/10.63282/3050-922X.IJERET-V2I1P107

[26] Enjam, G. R. (2021). Data Privacy & Encryption Practices in Cloud-Based Guidewire Deployments. International Journal of AI, BigData, Computational and Management Studies, 2(3), 64-73. https://doi.org/10.63282/3050-9416.IJAIBDCMS-V2I3P108

Published

2022-12-30

Issue

Section

Articles

How to Cite

1.
Pappula KK. Modular Monoliths in Practice: A Middle Ground for Growing Product Teams. IJETCSIT [Internet]. 2022 Dec. 30 [cited 2025 Sep. 13];3(4):53-6. Available from: https://www.ijetcsit.org/index.php/ijetcsit/article/view/345

Similar Articles

1-10 of 226

You may also start an advanced similarity search for this article.