Continuous Microservice Granularity Management with Saturation Signals in an Industrial Context

• Yan Justino CESAR
• Rafael Batista Duarte CESAR
• Carlos Eduardo da Silva Sheffield Hallam University

DOI: https://doi.org/10.5753/sbsi_estendido.2026.249011

Resumo

This paper presents an industry experience with Granulify, an evidence-based approach for continuous microservice granularity management applied during a 13-month modernisation initiative at a large financial institution in Brazil. The approach integrates the Granularity Classification Spectrum for qualitative boundary diagnosis and the Granularity Saturation Method for quantitative assessment. The longitudinal study revealed that periods without systematic management exhibited over-decomposition and architectural degradation, while Granulify enabled the team to detect saturation signals and perform strategic consolidation with measurable improvements.

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