CLOUD MIGRATION STRATEGIES AND OPTIMIZING CLOUD INFRASTRUCTURE THROUGH ADVANCED DEVELOPMENT PRACTICES IN FINTECH

Abstract

For Fintech companies that are seeking to enhance operational efficiency, reduce expenses, and ensure regulatory compliance, cloud migration has become an indispensable strategy. This investigation evaluates the impact of various cloud migration methodologies, including Rehosting, Refactoring, and Hybrid Cloud Integration, on cost-efficiency, security, and performance. The research evaluates advanced cloud optimization strategies, including artificial intelligence-enhanced monitoring, containerization, microservices, DevOps, and Infrastructure as Code (IaC).

The study, which utilized a mixed-method approach and case studies of three Fintech firms, determined that the Refactoring and Hybrid Cloud models provided the most optimal balance between scalability, security, and cost efficiency. Downtime reduction, infrastructure cost savings, application response time enhancement, and security enhancements were assessed as critical performance parameters. Following the migration, the results showed a 75% decrease in outage, a 40% increase in application response times, a 30% decrease in cloud expenditures, and an 80% reduction in security incidents.

The results emphasize the importance of a meticulously designed migration strategy and the implementation of cloud-native technology to enhance efficiency. The research posits that fintech companies must exercise caution when selecting their cloud strategy, ensuring that it aligns with their business needs and regulatory obligations. Additionally, they should leverage AI-driven optimization to achieve long-term benefits.