Microservices-based Modernization of Financial Regulatory Systems
DOI:
https://doi.org/10.64137/31079458/IJCSEI-V2I1P109Keywords:
Regulatory Systems Modernisation, Microservices, Java, Spring Boot, OpenShift, Develops, Audit-Ready Architecture, Scalable Banking PlatformsAbstract
Traditional monolithic regulatory systems cannot keep up with modern digital banking because of tightly coupled components, long release cycles and high maintenance costs. To overcome these limitations, this paper proposes a microservices-based modernisation framework for financial regulatory systems based on Java Spring Boot microservices, Red Hat OpenShift container orchestration, DevOps automation, and cloud-native governance. The proposed architecture decouples legacy monoliths into independently deployable business services communicating through secure REST APIs, API gateways and asynchronous messaging platforms. The platform enables continuous software delivery with regulatory integrity built directly into CI/CD pipelines, including security scanning, automated compliance checks, Infrastructure-as-Code practices, and policy enforcement. Integrated observability enables end-to-end visibility and audit preparedness with centralised logging, distributed tracing, and real-time operational dashboards. From an architectural perspective, this approach greatly improves system scalability, deployment flexibility, operational robustness and policy adaptability, providing financial institutions with a pragmatic model for cloud-native digital transformation.
References
[1] Chowdary Aluri, G. N. (2023). Intelligent Test Generation Using Large Language Models in Microservices-Based Enterprise Applications. International Journal of AI, BigData, Computational and Management Studies, 4(1), 177-184. https://doi.org/10.63282/3050-9416.IJAIBDCMS-V4I1P118.
[2] Chowdary Aluri, G. N., & Manohar, V. (2025). Generative AI Integration Patterns for Enterprise Workflow Automation: A Practitioner Framework. International Journal of Emerging Research in Engineering and Technology, 6(3), 165-172. https://doi.org/10.63282/3050-922X.IJERET-V6I3P121
[3] Chowdary Aluri, G. N., & Mupparapu, H. K. (2024). Redux State Management Patterns for Large-Scale React.js Enterprise Applications: An Empirical Analysis. International Journal of Emerging Research in Engineering and Technology, 5(2), 201-210. https://doi.org/10.63282/3050-922X.IJERET-V5I2P120
[4] Jaladi, D. S., & Mallempati, A. (2025). A Real-Time Enterprise Application Architecture for High-Volume Data Processing with Integrated Master Data Management. International Journal of Emerging Research in Engineering and Technology, 6(1), 126-134. https://doi.org/10.63282/3050-922X.IJERET-V6I1P116
[5] Mallempati, A. (2023). Smart Data, Smart Decisions: The Future of MDM & Governance. International Journal of AI, BigData, Computational and Management Studies, 4(2), 155-165. https://doi.org/10.63282/3050-9416.IJAIBDCMS-V4I2P116
[6] Mallempati, A. (2024). Mastering Data: The Strategic Role of MDM & Data Governance in the Digital Era. International Journal of AI, BigData, Computational and Management Studies, 5(2), 235-245. https://doi.org/10.63282/3050-9416.IJAIBDCMS-V5I2P123
[7] Mallempati, A., & Jaladi, D. S. . (2023). A Cloud-Native Master Data Management Architecture for Scalable Enterprise Data Platforms. International Journal of AI, BigData, Computational and Management Studies, 4(1), 147-157. https://doi.org/10.63282/3050-9416.IJAIBDCMS-V4I1P115
[8] Manohar, V., & K Movva, C. (2024). Simulation-Based Validation of Machine Learning Optimization Models in Warehouse Operations. International Journal of Emerging Trends in Computer Science and Information Technology, 5(4), 203-211. https://doi.org/10.63282/3050-9246.IJETCSIT-V5I4P123
[9] Manohar, V., & Mupparapu, H. K. (2025). Scalable Data Pipeline Architecture for Real-Time Supply Chain Analytics Using PySpark and Snowflake. International Journal of Artificial Intelligence, Data Science, and Machine Learning, 6(3), 203-212. https://doi.org/10.63282/3050-9262.IJAIDSML-V6I3P126
[10] Movva, C. K. (2023). Android AppLink Integration for Connected Vehicle Infotainment Systems: Architecture and Implementation Patterns. International Journal of Emerging Trends in Computer Science and Information Technology, 4(3), 245-254. https://doi.org/10.63282/3050-9246.IJETCSIT-V4I3P125
[11] Movva, C. K., & Chowdary Aluri, G. N. (2025). Enterprise Mobile Payment Gateway Architecture on IoT Handheld Devices: Security and Reliability Design. International Journal of AI, BigData, Computational and Management Studies, 6(1), 232-241. https://doi.org/10.63282/3050-9416.IJAIBDCMS-V6I1P124
[12] Movva, C. K., & Mupparapu, H. K. (2023). Enterprise Android Device Management and Security Policy Enforcement for Large-Scale Retail IoT Deployments. American International Journal of Computer Science and Technology, 5(1), 50-67. https://doi.org/10.63282/3117-5481/AIJCST-V5I1P105
[13] Mupparapu, H. K. (2023). Azure DevOps CI/CD Pipeline Design for Regulated Financial Software Deployment Environments. International Journal of AI, BigData, Computational and Management Studies, 4(4), 209-219. https://doi.org/10.63282/3050-9416.IJAIBDCMS-V4I4P121
[14] Mupparapu, H. K., & Chowdary Aluri, G. N. (2023). Microservices Decomposition Strategies for Legacy .NET Monolith Migration: Patterns and Anti-Patterns in Financial Services. International Journal of Artificial Intelligence, Data Science, and Machine Learning, 4(2), 181-191. https://doi.org/10.63282/3050-9262.IJAIDSML-V4I2P119
[15] Mupparapu, H. K., & K Movva, C. (2025). Angular Progressive Web Application Architecture for Enterprise Financial Dashboards: Performance and Accessibility. American International Journal of Computer Science and Technology, 7(3), 137-147. https://doi.org/10.63282/3117-5481/AIJCST-V7I3P111
[16] S. Newman, BUILDING MICROSERVICES: Designing fine-grained systems. O'Reilly Media, 2018.
[17] Cloud Native Computing Foundation, Cloud Native Landscape and Kubernetes Adoption Report, 2023.
[18] Joint Task Force, "Security and Privacy Controls for Information Systems and Organisations," Security and Privacy Controls for Information Systems and Organisations, vol. 5, no. 5, Sept. 2020, doi: 10.6028/nist.sp.800-53r5.
[19] M. Souppaya, J. Morello, and K. Scarfone, "Application container security guide," Application Container Security Guide, Sept. 2017, doi: 10.6028/nist.sp.800-190.
[20] Red Hat, Red Hat OpenShift Container Platform Documentation, 2024.
[21] OpenAPI Initiative. (2024, October 24). OpenAPI specification v3.1.1. https://spec.openapis.org/oas/v3.1.1.html
[22] OWASP. (2024). OWASP Application Security Verification Standard. https://owasp.org/www-project-application-security-verification-standard
[23] The Open Group, The TOGAF® Standard, 10th Edition - Content, Capability, and Governance. Van Haren, 2022.
[24] International Organization for Standardization. (2022). ISO/IEC 27001 standard – Information security management systems. https://www.iso.org/standard/27001
[25] Basel Committee on Banking Supervision. (2021, March). Principles for operational resilience. Bank for International Settlements. https://www.bis.org/bcbs/publ/d516.htm


