Optimizing Api-First Strategies Using Webmethods Cloudstreams and Spring Boot in Multi-Domain Environments

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Ceres Dbritto, Rajalingam Malaiyalan, Noori Memon, Suresh Sankara Palli

Abstract

This empirical study investigates the optimization of API-first strategies through the combined application of webMethods CloudStreams and Spring Boot in multi-domain environments. With increasing digital transformation across sectors, API-first architecture has become essential for achieving modular, scalable, and collaborative software development. However, implementing this strategy across domains such as finance, healthcare, and e-commerce poses integration, security, and scalability challenges. This research evaluates the performance, adaptability, and developer productivity using real-world use cases and a mixed-methods approach, including experimental setups, performance benchmarking, and developer feedback. APIs were developed using Spring Boot and integrated with third-party services using CloudStreams. The study found substantial improvements in API governance, integration speed, and system interoperability, along with a significant reduction in development time and error rates. The results confirm that combining the robust microservices architecture of Spring Boot with CloudStreams' prebuilt connectors offers a domain-agnostic solution to streamline API development. The findings advocate for strategic middleware and framework choices when adopting API-first methodologies, particularly in complex, multi-domain ecosystems. This study contributes to both academic literature and industry practices by empirically validating a scalable and efficient model for modern API development.

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