Intelligent Cloud-Native Architecture for Secure Real-Time SAP and Oracle Operations in Embedded Systems

Thomas Daniel Ivan

doi:10.15662/IJRAI.2022.0506012

Authors

Thomas Daniel Ivan Independent Researcher, London, United Kingdom Author

DOI:

https://doi.org/10.15662/IJRAI.2022.0506012

Keywords:

Cloud-Native Architecture, Artificial Intelligence, SAP Integration, Oracle Systems, Real-Time Operations, Embedded Systems, Cybersecurity, Intelligent Automation

Abstract

The growing complexity of enterprise ecosystems demands intelligent, secure, and scalable architectures capable of integrating diverse platforms and embedded devices. This paper presents an Intelligent Cloud-Native Architecture that unifies real-time SAP and Oracle operations with embedded system integration while ensuring robust cybersecurity and operational resilience. The proposed framework leverages AI-driven orchestration and cloud microservices to optimize data processing, transaction synchronization, and system interoperability across distributed environments. Embedded devices continuously exchange telemetry and operational data with enterprise databases through secure, low-latency cloud channels, enabling real-time monitoring and decision-making. A multilayered cybersecurity model—comprising encryption, intrusion detection, and anomaly-based AI threat analysis—ensures data integrity and compliance with enterprise security policies. The architecture supports dynamic scalability, fault tolerance, and continuous deployment, making it adaptable for industrial automation, financial services, and IoT-based enterprise systems. Experimental results demonstrate enhanced data throughput, reduced latency, and improved protection against cyber threats, validating the effectiveness of the proposed design. This research establishes a foundation for intelligent, cloud-native, and cyber-resilient enterprise infrastructures integrating SAP, Oracle, and embedded technologies.

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