Reliable Distributed Transactions in Microservices-Based Payment Systems: Consistency, Fault Tolerance, and Scalability

Abstract

The architectural paradigm that has emerged to be the preferable one when dealing with the current financial platforms is the microservices payment systems due to their flexibility, scaling ability, and speed in the deployment of services. Nonetheless, as a challenge, regular distributed transactions among self-deployed services has been quite difficult due to network failures, incomplete commits and data distortions and volume of transactions. It seems to me that in this paper, I would like to introduce the Reliable Distributed Transaction Framework (RDTF) that is a framework that unifies the Saga orchestration, event-driven communication, distributed transaction coordination, idempotent request handling, fault recovery and real-time monitor and offers consistency, fault tolerance, and scalability. It outlines an event sourcing and transactional outbox pattern, message brokers, distributed tracing and automated compensation to guarantee eventual consistency, as well as to ensure high availability of the system. More advanced resilience design methods like circuit breakers, retry policies, timeouts and health check improve fault recovery without having an impact on performance. Authentication, authorization, encrypted communications and audit logging are used to enhance security to ensure adherence to rules in financial settings. Experimental analysis supports the argument that the proposed framework is extremely critical to minimize the collapse of transaction, recover time throughput and consistency of state of transaction in case high-concurrency load is involved. The proposed RDTF can be a friendly and scalable scheme when it is founded on the trusted platforms of payment that are able to meet financial transactions in real time as well as meet the current demands of the enterprise on sincerity, constancy and craftiness.