Event-Driven Microservices for Real-Time Revenue Recognition in Cloud-Based Enterprise Applications

Abstract

Live revenue recognition is an urgent demand in the current cloud based enterprise applications as businesses are ready to have real time financial information and regulatory compliance. The monolithic traditional architectures have been found not to be very compatible with providing scalability, responsiveness, and flexibility needed to handle dynamic transaction processing. This paper examines how event-driven microservices can be used to support real-time recognition of the revenue in cloud environments. Through asynchronous messaging, event sourcing and domain-driven design, the proposed architecture can decouple financial processes into scalable independence services that can process revenue events as they happen. An implementation prototype shows reduced latency, throughput, and systems resilience; this is a positive change over the traditional batch based designs. The results show that event-based microservices adoption does not only improve real-time financial processing but also auditability, compliance, and operational agility of enterprise applications. This study offers a practical solution to organizations that want to transform their financial systems to enable them have real-time revenue transparency in cloud-based systems.