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Software Engineer, Tata Consultancy Services, USA
Abstract
The increasing adoption of microservices architecture within the banking sector has catalyzed a paradigm shift towards cloud-based infrastructures, necessitating stringent adherence to regulatory frameworks such as the Federal Deposit Insurance Corporation (FDIC), which is a supervisory authority. Despite the evident benefits of cloud migrationβincluding enhanced scalability, agility, and cost efficiencyβbanks face significant challenges in orchestrating migrations that simultaneously address architectural complexity and regulatory mandates. This study introduces an automated cloud migration framework specifically designed to facilitate FDIC-compliant transitions of banking microservices. Employing a mixed-methods approach, the research integrates a comprehensive architectural design with automation techniques and compliance verification mechanisms, validated through a case study involving cross-functional product and engineering teams. Quantitative analyses reveal that the proposed framework reduces migration time by approximately 30% while maintaining full compliance with FDIC regulations, as evidenced by systematic audit trails and security assessments. Qualitative insights further underscore the framework's capacity to mitigate operational risks and streamline decision-making processes during migration. The findings suggest that this framework not only accelerates cloud adoption but also fortifies regulatory adherence, thereby contributing a novel, scalable solution to the domain of banking IT modernization. Ultimately, this research advances scholarly discourse by bridging the gap between automated migration methodologies and compliance imperatives, offering a replicable model for secure, efficient cloud transitions in highly regulated environments.
How to Cite
Parth Joshi. (2025). Comparative Study of Cloud Migration from Legacy to Cloud Infrastructure for Large Scale Organizations. Frontiers in Emerging Computer Science and Information Technology, 2(10), 15β23. https://doi.org/10.64917/fecsit/Volume02Issue10-02
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