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Delivering Resilience: Building Scalable Integration Patterns for Oracle Cloud ERP and HCM

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Author :  Anusha Atluri

Affiliation :  SR Oracle Techno Functional consultant at Oracle

Country :  USA

Category :  Digital Signal & Image Processing

Volume, Issue, Month, Year :  15, 11, June, 2025

Abstract :


One of the main obstacles in the proper integration of Oracle Cloud ERP and HCM systems is their enormous capacity for both scalably and resilience. These two systems which in their individual capacity are quite powerful demand integration strategies of robust nature to ensure that they are collaborating faultlessly as the organizations grow and the services offered are becoming the content of data. On the top position is the challenge of keeping the performance, data consistency, and uptime while managing very complex business processes throughout the two systems at the same time. This article is going to introduce the scalable integration patterns whose aim is not only to deal with these issues but also to maintain the systems' resilience. By means of modular integration designs, data synchronization, and automation, the proposed models facilitate the seamless communication between Oracle Cloud ERP and HCM, the systems adjusting to the businesses' growing requirements. Resilience comes from a fault-tolerant architecture, explaining that the system can manage errors gracefully and in the worst case, minimize the loss of service. The agencies that carried out the study point out the necessity of cloud-native tools and the use of best practices in making effective and robust integrations. Such tools are gaining in importance in the light of the unexpected dislocation that they could cause but still, service quality should not be compromised.

Keyword :  Oracle Cloud ERP, Oracle Cloud HCM, Scalable Integration Solutions, Cloud Integration, ERP Resilience, Enterprise Resource Planning, Human Capital Management.

Journal/ Proceedings Name :  CS & IT

URL :  https://aircconline.com/csit/abstract/v15n11/csit151105.html

User Name : alex
Posted 27-05-2026 on 00:01:42 AEDT



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