B.Tech Information Technology | Master of Computer Science.
World Journal of Advanced Engineering Technology and Sciences, 2025, 17(01), 436–443
Article DOI: 10.30574/wjaets.2025.17.1.1443
Received on 18 September 2025; revised on 25 October 2025; accepted on 27 October 2025
The evolution of digital payment systems has necessitated the adoption of modular and scalable software architectures to support secure, efficient, and adaptable financial transactions. This paper explores microservice integration for payment software development kits (SDKs), emphasizing how decentralized and service-oriented architectures enhance the performance, scalability, and maintainability of payment ecosystems. Microservices enable independent deployment, versioning, and scaling of core payment functions—such as authentication, transaction processing, fraud detection, and compliance—thereby reducing system downtime and improving development agility. The study analyzes integration frameworks including RESTful APIs, message queues, and container orchestration (e.g., Docker and Kubernetes) that support seamless communication between microservices and SDK components. Additionally, it examines interoperability challenges across multiple financial platforms, highlighting the role of API gateways and service mesh technologies in achieving robust security, monitoring, and fault tolerance. Experimental results demonstrate that microservice-enabled payment SDKs significantly reduce transaction latency and enhance modular extensibility compared to traditional monolithic designs. The findings suggest that microservice integration forms the backbone of next-generation financial infrastructures, facilitating continuous innovation, real-time analytics, and cross-border interoperability in digital payment environments.
Microservices; Payment SDK; API Integration; Cloud-Native Architecture; Financial Technology (FinTech); Scalability; Security
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Sidhant Chadha. Microservice Integration for Payment SDKs. World Journal of Advanced Engineering Technology and Sciences, 2025, 17(01), 436-443. Article DOI: https://doi.org/10.30574/wjaets.2025.17.1.1443.