Modernizing Transaction Processing Systems: A Comprehensive Approach

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Harish Musunuri

Abstract

Transaction processing systems represent critical infrastructure for modern retail operations, yet many organizations struggle with legacy monolithic architectures that constrain their ability to respond to evolving market demands and technological advancements. This article examines the comprehensive transformation from monolithic, vendor-dependent systems to flexible, cloud-native microservices architectures, addressing the fundamental challenges of architectural rigidity, vendor lock-in, and scalability constraints that plague traditional transaction processing environments. The research explores how monolithic architectures create significant barriers to innovation through the tight coupling of components, inflexible workflows, and inefficient resource utilization that necessitate over-provisioning of entire application stacks. The article presents a detailed architectural transformation strategy encompassing hardware agnosticism through abstraction layers, microfrontend principles for modular user interface development, and event-driven patterns for asynchronous communication between loosely coupled services. Technical implementation considerations are analyzed, including resilient error recovery mechanisms such as circuit breakers and retry logic, cross-platform consistency strategies, and state management approaches, including event sourcing and saga patterns for distributed transaction coordination. The transformation delivers substantial organizational and technical benefits, including enhanced development agility through independent service deployment, improved scalability through granular resource allocation, superior fault isolation preventing cascading failures, and strategic flexibility through elimination of vendor dependencies. This modernization approach enables organizations to build transaction processing systems that can evolve continuously while maintaining reliability, performance, and cost efficiency in increasingly complex payment ecosystems.

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