Serverless Frameworks for Scalable Banking App Backends

With the rise of digital banking and the increasing demand for scalable, high-performance systems, traditional architectures often struggle to keep up with fluctuating workloads and complex banking processes. Serverless computing, an emerging paradigm, offers a novel solution by allowing developers to focus solely on application logic without worrying about the underlying infrastructure. This paper explores the application of serverless frameworks in building scalable backends for banking applications. We investigate the working principles of serverless architectures, highlighting their advantages in terms of cost-efficiency, scalability, and flexibility. Through a detailed analysis of current serverless platforms such as AWS Lambda, Google Cloud Functions, and Azure Functions, we examine how they can be leveraged to address the unique requirements of banking apps. The paper also explores the challenges, including security, data management, and integration with legacy banking systems, that come with adopting serverless technologies. Finally, the paper discusses performance and scalability considerations, security concerns, and potential future enhancements in serverless frameworks, particularly with the integration of AI and blockchain technologies.