LEVERAGING AWS FOR SCALABILITY AND RESILIENCE IN FINANCIAL APPLICATIONS

Abstract

The banking sector has been revolutionized by cloud computing, which provides scalable and robust solutions for high-volume transactions and data processing. This investigation investigates the influence of Amazon Web Services (AWS) on the robustness and scalability of financial applications. The research utilizes a mixed-methods approach to evaluate the scalability, transaction processing speed, and system reliability both before and during the AWS migration. The results indicate a 0.4% increase in system availability, a 35% increase in transaction processing speed, and a 50% increase in scalability efficiency. The improvements are attributed to the Resilience Hub, Elastic Load Balancer, Lambda, and AWS Auto Scaling. While AWS enhances performance, it is necessary to address issues such as security compliance, regional latency, and initial migration expenses. The research suggests that AWS is a viable alternative for financial institutions that are seeking to improve their flexibility and reliability.