Real-Time Enterprise Data Integration Using Event-Driven Architecture and Secure Cloud Connectivity Through Microservices Orchestration
DOI:
https://doi.org/10.15680/IJCTECE.2025.0806049Keywords:
Real-Time Data Integration, Event-Driven Architecture, Secure Cloud Connectivity, Microservices Orchestration, Enterprise Integration, Asynchronous Messaging, API Security, Cloud-Native Applications, Distributed Systems, Data InteroperabilityAbstract
The growing demand for real-time business intelligence and seamless enterprise connectivity has increased the need for scalable, secure, and responsive data integration architectures. Traditional batch-oriented integration approaches often introduce processing delays, tightly coupled dependencies, and limited flexibility when handling distributed enterprise workloads. This research proposes a real-time enterprise data integration framework that combines event-driven architecture, secure cloud connectivity, and microservices orchestration to support efficient data exchange across heterogeneous enterprise systems. The framework uses event brokers, asynchronous messaging, API gateways, containerized microservices, and centralized monitoring to facilitate reliable communication between cloud applications, databases, enterprise resource planning systems, and external services. Security mechanisms, including mutual Transport Layer Security, OAuth-based authentication, role-based access control, encryption, and continuous policy enforcement, are incorporated to protect data throughout transmission and processing. The methodology evaluates the architecture through controlled integration scenarios involving event processing latency, throughput, message delivery reliability, scalability, resource utilization, and security effectiveness. Particular attention is given to event ordering, duplicate message handling, service failures, retry mechanisms, and distributed transaction consistency. The proposed framework aims to reduce integration delays, improve system interoperability, and strengthen enterprise data protection while supporting independent service deployment and horizontal scaling. This research provides an implementation-oriented foundation for organizations seeking to modernize enterprise integration through secure, event-driven, cloud-native architectures capable of supporting dynamic business operations and real-time decision-making.References
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