Evaluation of the impacts of decomposing a monolithic application into microservices: A case study

Kleinner Farias; Tulio Ricardo Hoppen Barzotto

Evaluation of the impacts of decomposing a monolithic application into microservices: A case study

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arxiv 2203.13878 v2 pith:HPOJ6XUZ submitted 2022-03-25 cs.SE

Tulio Ricardo Hoppen Barzotto , Kleinner Farias This is my paper · ORCID

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keywords applicationmicroservicesmonolithicarchitectureconsumptionimpactsindustryaiming

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Monolithic applications are being decomposed to a microservices architecture, aiming to improve maintainability, performance and modularization. Although such decompositions have now been widely carried out in the industry, little is reported in the literature about the impacts of these decompositions. This work, therefore, reports a case study carried out to investigate the impacts of the decomposition of a real industry application for microservices architecture. The target application of the study refers to a raid operation, performed by a financial institution, which was extracted from a monolithic application to an application based on microservices. In particular, metrics were applied to monolithic and microservice-based applications, aiming to quantify coupling, cohesion, CPU consumption and memory consumption. The results obtained show that the microservices architecture generated better results for the software modularity metrics, in addition to lower memory and CPU consumption. Finally, this work brings insight and points out challenges and future directions of research that need to be explored by academia and industry.

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Extracting Overlapping Microservices from Monolithic Code via Deep Semantic Embeddings and Graph Neural Network-Based Soft Clustering
cs.SE 2025-08 reject novelty 6.0 of 10

Mo2oM assigns classes to overlapping microservices using UniXcoder embeddings and NOCD soft clustering, claiming large gains in modularity metrics over hard-clustering baselines on four monoliths.

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