A cloud-native reference architecture for modernizing legacy financial systems

Gaddam, Kishore Reddi (2025) A cloud-native reference architecture for modernizing legacy financial systems. World Journal of Advanced Engineering Technology and Sciences, 15 (2). pp. 2075-2083. ISSN 2582-8266

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Abstract

This article proposes a comprehensive cloud-native reference architecture for modernizing legacy financial systems, addressing the critical challenges faced by financial institutions in their digital transformation journey. The architecture provides a blueprint for incrementally transforming monolithic applications into scalable, resilient microservices using containerization and modern cloud technologies. By examining architectural layers including infrastructure, service mesh, application components, API gateways, security, and observability, the article demonstrates how financial institutions can achieve greater agility without compromising reliability. Key transformation patterns such as the Strangler Fig approach, event-driven communication, and data modernization strategies are presented as viable paths for legacy system evolution. The article further explores implementation toolchains spanning development environments, CI/CD pipelines, and operational tooling that support these modernization efforts. Special attention is given to the stringent security and compliance considerations unique to financial services, including regulatory requirements, audit trails, zero-trust models, and financial-grade APIs. This reference architecture enables institutions to balance innovation with stability while positioning themselves to leverage emerging technologies in an increasingly competitive landscape.

Item Type: Article
Official URL: https://doi.org/10.30574/wjaets.2025.15.2.0743
Uncontrolled Keywords: Cloud-native architecture; Legacy system modernization; Microservices transformation; Financial technology modernization; Strangler fig pattern
Depositing User: Editor Engineering Section
Date Deposited: 04 Aug 2025 16:39
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URI: https://eprint.scholarsrepository.com/id/eprint/3998