COST OPTIMIZATION STRATEGIES IN FINTECH USING MICROSERVICES AND SERVERLESS ARCHITECTURES

Abstract

This article delves into the tactics employed by the fintech industry to optimize costs through the utilization of serverless and microservice architectures. Analyzing real-world finance applications, it proves that these designs boost performance and scalability while decreasing operational, maintenance, and infrastructure expenses. Innovative solutions to lower costs and increase operational efficiency are being sought after by enterprises in the increasingly competitive fintech sector. Microservices and serverless architectures are the focus of this study as it delves into how finance organizations may optimize their costs. It goes over the basics of these designs and how they can improve scalability, flexibility, and resource consumption compared to conventional monolithic systems. This research sheds light on the practical implementation of these strategies through an in-depth case study of FinTech Bank. It demonstrates how the bank has reduced infrastructure costs and accelerated service deployment by transitioning to a microservices-based approach and adopting serverless computing.