Leveraging Agile for Large-Scale Cloud Migration Projects
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Abstract
Cloud migration has become a strategic necessity for enterprises seeking scalability, flexibility, and cost efficiency in their IT infrastructure. However, large-scale cloud migration projects often face numerous challenges, such as technical complexities, high risks, and the need for quick adaptation to changing requirements. This paper explores the adoption of Agile methodologies in cloud migration initiatives and investigates how these practices can be effectively integrated to enhance the success of such projects. By employing a case study approach, this research identifies critical success factors, such as iterative planning, cross-functional collaboration, and continuous feedback, which are central to Agile practices. The study demonstrates how Agile can address common challenges in cloud migration, including resource allocation, stakeholder engagement, and change management. Key findings suggest that Agile enhances project flexibility, reduces migration risks, and leads to more predictable outcomes.
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References
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· Gudavalli, S., Bhimanapati, V., Mehra, A., Goel, O., Jain, P. A., & Kumar, D. L. (2024). Machine Learning Applications in Telecommunications. Journal of Quantum Science and Technology (JQST), 1(4), Nov(190–216). https://jqst.org/index.php/j/article/view/105
· Goel, P. & Singh, S. P. (2009). Method and Process Labor Resource Management System. International Journal of Information Technology, 2(2), 506-512.
· Singh, S. P. & Goel, P. (2010). Method and process to motivate the employee at performance appraisal system. International Journal of Computer Science & Communication, 1(2), 127-130.
· Goel, P. (2012). Assessment of HR development framework. International Research Journal of Management Sociology & Humanities, 3(1), Article A1014348. https://doi.org/10.32804/irjmsh
· Goel, P. (2016). Corporate world and gender discrimination. International Journal of Trends in Commerce and Economics, 3(6). Adhunik Institute of Productivity Management and Research, Ghaziabad.
· Kammireddy, V. R. C., & Goel, S. (2024). Advanced NLP techniques for name and address normalization in identity resolution. International Journal of Research in Modern Engineering and Emerging Technology, 12(12), 600. https://www.ijrmeet.org
· Vinay kumar Gali, Prof. (Dr) Punit Goel, Optimizing Invoice to Cash I2C in Oracle Cloud Techniques for Enhancing Operational Efficiency , IJRAR - International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.11, Issue 4, Page No pp.51-70, December 2024, Available at : http://www.ijrar.org/IJRAR24D3372.pdf
· Natarajan, Vignesh, and Prof. (Dr) Punit Goel. 2024. Scalable Fault-Tolerant Systems in Cloud Storage: Case Study of Amazon S3 and Dynamo DB. International Journal of All Research Education and Scientific Methods 12(12):4819. ISSN: 2455-6211. Available online at www.ijaresm.com. Arizona State University, 1151 S Forest Ave, Tempe, AZ, United States. Maharaja Agrasen Himalayan Garhwal University, Uttarakhand. ORCID.
· Kumar, A., & Goel, P. (Dr) P. (2025). Enhancing ROI through AI-Powered Customer Interaction Models. Journal of Quantum Science and Technology (JQST), 2(1), Jan(585–612). Retrieved from https://jqst.org/index.php/j/article/view/178
· Bajaj, A., & Prasad, P. (Dr) M. (2025). Data Lineage Extraction Techniques for SQL-Based Systems. Journal of Quantum Science and Technology (JQST), 2(1), Jan(388–415). Retrieved from https://jqst.org/index.php/j/article/view/170
· Pingulkar, Chinmay, and Shubham Jain. 2025. Using PFMEA to Enhance Safety and Reliability in Solar Power Systems. International Journal of Research in Modern Engineering and Emerging Technology (IJRMEET) 13(1):1–X. Retrieved (https://www.ijrmeet.org).
· Venkatesan, Karthik, and Saurabh Solanki. 2024. Real-Time Advertising Data Unification Using Spark and S3: Lessons from a 50GB+ Dataset Transformation. International Journal of Research in Humanities & Social Sciences 12(12):1-24. Resagate Global - Academy for International Journals of Multidisciplinary Research. Retrieved (www.ijrhs.net).
· Sivaraj, K. P., & Singh, N. (2025). Impact of Data Visualization in Enhancing Stakeholder Engagement and Insights. Journal of Quantum Science and Technology (JQST), 2(1), Jan(519–542). Retrieved from https://jqst.org/index.php/j/article/view/175
· Rao, Priya Guruprakash, and Abhinav Raghav. 2025. Enhancing Digital Platforms with Data-Driven User Research Techniques. International Journal of Research in Modern Engineering and Emerging Technology (IJRMEET) 13(1):84. Resagate Global - Academy for International Journals of Multidisciplinary Research. Retrieved (https://www.ijrmeet.org).
· Mulka, Arun, and Dr. S. P. Singh. 2025. “Automating Database Management with Liquibase and Flyway Tools.” International Journal of Research in Modern Engineering and Emerging Technology (IJRMEET) 13(1):108. Retrieved (www.ijrmeet.org).
· Mulka, A., & Kumar, D. R. (2025). Advanced Configuration Management using Terraform and AWS Cloud Formation. Journal of Quantum Science and Technology (JQST), 2(1), Jan(565–584). Retrieved from https://jqst.org/index.php/j/article/view/177
· Gupta, Ojas, and Lalit Kumar. 2025. “Behavioral Economics in UI/UX: Reducing Cognitive Load for Sustainable Consumer Choices.” International Journal of Research in Modern Engineering and Emerging Technology (IJRMEET) 13(1):128. Retrieved (www.ijrmeet.org).
Somavarapu, S., & ER. PRIYANSHI. (2025). Building Scalable Data Science Pipelines for Large-Scale Employee Data Analysis. Journal of Quantum Science and Technology (JQST), 2(1), Jan(446–470). Retrieved from https://jqst.org/index.php/j/article/view/172
· Workload-Adaptive Sharding Algorithms for Global Key-Value Stores , IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 8, page no.e594-e611, August-2023, Available :https://ijnrd.org/papers/IJNRD2308458.pdf
· ML-Driven Request Routing and Traffic Shaping for Geographically Distributed Services , IJCSPUB - INTERNATIONAL JOURNAL OF CURRENT SCIENCE (www.IJCSPUB.org), ISSN:2250-1770, Vol.10, Issue 1, page no.70-91, February-2020, Available :https://rjpn.org/IJCSPUB/papers/IJCSP20A1010.pdf
· Automated Incremental Graph-Based Upgrades and Patching for Hyperscale Infrastructure , IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.6, Issue 6, page no.89-109, June-2021, Available :https://ijnrd.org/papers/IJNRD2106010.pdf
· Chintha, Venkata Ramanaiah, and Punit Goel. 2025. “Federated Learning for Privacy-Preserving AI in 6G Networks.” International Journal of Research in Modern Engineering and Emerging Technology (IJRMEET) 13(1):39. Retrieved (http://www.ijrmeet.org).
· Chintha, V. R., & Jain, S. (2025). AI-Powered Predictive Maintenance in 6G RAN: Enhancing Reliability. Journal of Quantum Science and Technology (JQST), 2(1), Jan(495–518). Retrieved from https://jqst.org/index.php/j/article/view/173