Cloud-Native Enterprise Integration: Architectures, Challenges, and Best Practices

Cloud-native enterprise integration represents a transformative shift from monolithic middleware to distributed, loosely-coupled architectures that enable organizations to achieve greater business agility and operational efficiency. This article examines the architectural patterns, challenges, and best practices for successful cloud-native integration implementations. By leveraging event-driven architectures, API-first approaches, service meshes, and hybrid integration models, enterprises can create flexible, resilient integration solutions that support modern business requirements. However, these benefits come with significant challenges related to distributed systems complexity, security vulnerabilities, vendor lock-in concerns, legacy system integration, and performance considerations. Through the adoption of DevOps practices, comprehensive observability strategies, container orchestration, robust API security, resilience engineering, and multi-cloud optimization techniques, organizations can overcome these challenges and realize the full potential of cloud-native integration. The implementation framework presented provides a practical roadmap for organizations at any stage of their cloud-native journey, encompassing assessment, architecture definition, platform selection, governance establishment, and iterative implementation. By following this structured approach, enterprises can successfully navigate the complexities of modern integration landscapes and deliver tangible business value through their cloud-native initiatives.

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Publication Details

Journal
Journal of Computer Science and Technology Studies
Published
2025-05-30
DOI
https://doi.org/10.32996/jcsts.2025.7.5.22
Citations
1
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
3.25
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article

Cloud-Native Enterprise Integration: Architectures, Challenges, and Best Practices

Ramadevi Sannapureddy
1 citations
Journal of Computer Science and Technology Studies
Cloud Computing and Resource Management
3.25
article

Cloud-Native Enterprise Integration: Architectures, Challenges, and Best Practices

Ramadevi Sannapureddy
article en
1 citations

Abstract

Cloud-native enterprise integration represents a transformative shift from monolithic middleware to distributed, loosely-coupled architectures that enable organizations to achieve greater business agility and operational efficiency. This article examines the architectural patterns, challenges, and best practices for successful cloud-native integration implementations. By leveraging event-driven architectures, API-first approaches, service meshes, and hybrid integration models, enterprises can create flexible, resilient integration solutions that support modern business requirements. However, these benefits come with significant challenges related to distributed systems complexity, security vulnerabilities, vendor lock-in concerns, legacy system integration, and performance considerations. Through the adoption of DevOps practices, comprehensive observability strategies, container orchestration, robust API security, resilience engineering, and multi-cloud optimization techniques, organizations can overcome these challenges and realize the full potential of cloud-native integration. The implementation framework presented provides a practical roadmap for organizations at any stage of their cloud-native journey, encompassing assessment, architecture definition, platform selection, governance establishment, and iterative implementation. By following this structured approach, enterprises can successfully navigate the complexities of modern integration landscapes and deliver tangible business value through their cloud-native initiatives.

Journal of Computer Science and Technology StudiesVol. 7(5)
Sikkim Manipal University (IN)
Openalex Percentile: Top 9%
Cloud Computing and Resource Management
3.25
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Cloud-Native Enterprise Integration: Architectures, Challenges, and Best Practices — Ramadevi Sannapureddy · Journal of Computer Science and Technology Studies (2025) | TGRS Research Map | TGRS