Research Article

Intelligent Microservices in Regulated Industries: Crew Scheduling and Retail Claims

Authors

  • Sumanth Reddy Anumula University of Central Missouri, USA

Abstract

This article examines the transformative impact of domain-driven microservices architectures in highly regulated industries, with a focus on crew scheduling in aviation and claims processing in retail. Traditional monolithic systems create significant bottlenecks for regulatory compliance, while intelligent microservices embed compliance directly into the architecture. Case studies from a major airline and retail corporation demonstrate how decomposing complex validation logic into specialized microservices dramatically improves compliance accuracy, reduces processing times, and enables rapid adaptation to regulatory changes. Key architectural patterns, including embedded rule engines, compliance as code, and decision logging, enable organizations to maintain strict regulatory adherence while embracing agile development practices. The resulting systems achieve higher performance, better compliance outcomes, and greater business agility compared to traditional architectures. By shifting from reactive compliance validation to proactive compliance-by-design principles, these microservices architectures fundamentally alter how organizations view regulatory requirements, transforming them from external constraints into embedded guardrails that enhance both operational efficiency and competitive advantage in increasingly complex regulatory landscapes.

Article information

Journal

Journal of Computer Science and Technology Studies

Volume (Issue)

7 (6)

Pages

1084-1089

Published

2025-06-29

How to Cite

Sumanth Reddy Anumula. (2025). Intelligent Microservices in Regulated Industries: Crew Scheduling and Retail Claims. Journal of Computer Science and Technology Studies, 7(6), 1084-1089. https://doi.org/10.32996/jcsts.2025.7.128

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Keywords:

Microservices architecture, regulatory compliance, domain-driven design, embedded rule engines, audit traceability