Strategic Migration of Adobe Experience Manager : A Comprehensive Framework for On-Premise to Cloud Transition
DOI:
https://doi.org/10.32628/CSEIT241051089Keywords:
AEM Cloud Migration, Digital Experience Platforms, Content Management Systems Cloud Computin, Enterprise Software MigrationAbstract
This article examines the strategic migration of Adobe Experience Manager (AEM) from on-premise environments to cloud platforms, addressing the growing demand for scalable and efficient content management solutions in the digital landscape. Through a comprehensive analysis of migration processes, this research presents a systematic framework for organizations undertaking AEM cloud transitions. The article investigates key components of migration, including code refactoring, configuration adjustments, content transfer strategies, and environment adaptation. Utilizing a mixed-method approach, incorporating both quantitative performance metrics and qualitative case study analysis, we evaluate the efficacy of migration tools such as Adobe's Cloud Acceleration Manager and custom scripts for business logic. Our findings reveal significant improvements in scalability, cost-efficiency, and system performance post-migration, while also highlighting potential challenges and mitigation strategies. This article contributes to the body of knowledge on enterprise content management systems and provides practical insights for organizations considering AEM cloud migration, offering a roadmap for successful transition in an increasingly cloud-centric technological ecosystem.
Downloads
References
A. Khajeh-Hosseini, D. Greenwood, and I. Sommerville, "Cloud Migration: A Case Study of Migrating an Enterprise IT System to IaaS," in 2010 IEEE 3rd International Conference on Cloud Computing, 2010, pp. 450-457. [Online]. Available: https://ieeexplore.ieee.org/document/5557962
M. Armbrust., "A view of cloud computing," Communications of the ACM, vol. 53, no. 4, pp. 50-58, 2010. [Online]. Available: https://dl.acm.org/doi/10.1145/1721654.1721672
R. Buyya, C. S. Yeo, S. Venugopal, J. Broberg, and I. Brandic, "Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility," Future Generation Computer Systems, vol. 25, no. 6, pp. 599-616, 2009. [Online]. Available: https://www.sciencedirect.com/science/article/abs/pii/S0167739X08001957
A. Dutta, G. C. Peng, and A. Choudhary, "Risks in enterprise cloud computing: the perspective of IT experts," Journal of Computer Information Systems, vol. 53, no. 4, pp. 39-48, 2013. [Online]. Available: https://www.tandfonline.com/doi/abs/10.1080/08874417.2013.11645649
M. Feathers, "Working Effectively with Legacy Code," Prentice Hall, 2004. [Online]. Available: https://www.oreilly.com/library/view/working-effectively-with/0131177052/
C. Pahl and H. Xiong, "Migration to PaaS clouds – Migration process and architectural concerns," 2013 IEEE 7th International Symposium on the Maintenance and Evolution of Service-Oriented and Cloud-Based Systems, 2013, pp. 86-91. [Online]. Available: https://ieeexplore.ieee.org/document/6632740
Adobe, "Content Transfer Tool Overview," Adobe Experience Manager as a Cloud Service Documentation, 2023. [Online]. Available: https://experienceleague.adobe.com/docs/experience-manager-cloud-service/content/migration-journey/cloud-migration/content-transfer-tool/overview-content-transfer-tool.html
M. F. Gholami, F. Daneshgar, G. Low, and G. Beydoun, "Cloud migration process—A survey, evaluation framework, and open challenges," Journal of Systems and Software, vol. 120, pp. 31-69, 2016. [Online]. Available: https://www.sciencedirect.com/science/article/abs/pii/S0164121216300966
H. Gangwar, H. Date, and R. Ramaswamy, "Understanding determinants of cloud computing adoption using an integrated TAM-TOE model," Journal of Enterprise Information Management, vol. 28, no. 1, pp. 107-130, 2015. [Online]. Available: https://www.emerald.com/insight/content/doi/10.1108/JEIM-08-2013-0065/full/html
Downloads
Published
Issue
Section
License
Copyright (c) 2024 International Journal of Scientific Research in Computer Science, Engineering and Information Technology
This work is licensed under a Creative Commons Attribution 4.0 International License.