The Convergence of Cloud-Native Architectures, Generative AI, And Agentic Systems: A Multi-Dimensional Analysis of Strategic IT Infrastructure and Scientific Discovery
Keywords:
Cloud-Native Environments, Agentic AI, Data Governance, 5G O-RANAbstract
This research article investigates the transformative synergy between cloud-native infrastructure, automated data governance, and the emergence of agentic artificial intelligence in both corporate and scientific domains. As organizations transition toward 5G Open Radio Access Networks (O-RAN), microservices-based platforms, and multi-tenant architectures, the complexity of maintaining security, agility, and performance reaches unprecedented levels. Simultaneously, the scientific community is grappling with the integration of generative AI, which-while accelerating data analysis-faces fundamental challenges in achieving autonomous discovery and human-like creativity. By synthesizing findings from cloud migration strategies, real-time analytics, and the ethics of scientific discovery, this paper provides a comprehensive framework for understanding the modern digital ecosystem. We explore the role of agentic AI in reinvigorating private cloud providers through dynamic pricing, the necessity of resilient disaster recovery using technologies like Oracle Data Guard, and the importance of KPI-based monitoring in high-velocity network environments. Furthermore, we address the socio-technical implications of AI bias and the "choice-supportive bias" in scientific modeling. The research concludes that while full-stack cloud technologies provide the requisite agility for modern enterprise operations, the human element remains irreplaceable in the creative and ethical facets of scientific advancement.
References
1. Brijesh Tripathi. (2025). Dynamic Pricing in the Cloud Era: How Agentic AI Can Reinvigorate Private Cloud Providers. Utilitas Mathematica, 122(2), 1385–1394. Retrieved from https://utilitasmathematica.com/index.php/Index/article/view/2866
2. Dave, Saurabh Ashwinikumar, Krishna Kishor Tirupati, Pronoy Chopra, Er. Aman Shrivastav, Shalu Jain, and Ojaswin Tharan. 2021. "Multi-Tenant Data Architecture for Enhanced Service Operations." International Journal of General Engineering and Technology.
3. Dave, Saurabh Ashwinikumar, Nishit Agarwal, Shanmukha Eeti, Om Goel, Arpit Jain, and Punit Goel. 2021. "Security Best Practices for Microservice-Based Cloud Platforms." International Journal of Progressive Research in Engineering Management and Science (IJPREMS) 1(2):150–67.
4. Ding, A.W., Li, S.: Generative AI lacks the human creativity to achieve scientific discovery from scratch. Sci. Rep. 15(1), 9587 (2025).
5. Fanelli, D., Costas, R., Ioannidis, J.P.: Meta-assessment of bias in science. Proc. Natl. Acad. Sci. 114(14), 3714–3719 (2017).
6. Govindarajan, Balaji, Aravind Ayyagari, Punit Goel, Ravi Kiran Pagidi, Satendra Pal Singh, and Arpit Jain. 2021. Challenges and Best Practices in API Testing for Insurance Platforms. International Journal of Progressive Research in Engineering Management and Science (IJPREMS) 1(3):89–107.
7. Jena, Rakesh, Archit Joshi, FNU Antara, Dr. Satendra Pal Singh, Om Goel, and Shalu Jain. 2021. "Disaster Recovery Strategies Using Oracle Data Guard." International Journal of General Engineering and Technology 10(1):1-6.
8. Jena, Rakesh, Murali Mohana Krishna Dandu, Raja Kumar Kolli, Satendra Pal Singh, Punit Goel, and Om Goel. 2021. "Cross-Platform Database Migrations in Cloud Infrastructures." International Journal of Progressive Research in Engineering Management and Science (IJPREMS) 1(1):26–36.
9. Kafaee, M., Marhamati, H., Gharibzadeh, S.: “Choice-supportive bias” in science: explanation and mitigation. Account. Res. 28(8), 528–543 (2021).
10. Khan, Imran, Rajas Paresh Kshirsagar, Vishwasrao Salunkhe, Lalit Kumar, Punit Goel, and Satendra Pal Singh. 2021. KPI-Based Performance Monitoring in 5G O-RAN Systems. International Journal of Progressive Research in Engineering Management and Science (IJPREMS) 1(2):150–67.
11. Krishnamurthy, Satish, Archit Joshi, Indra Reddy Mallela, Dr. Satendra Pal Singh, Shalu Jain, and Om Goel. 2021. “Achieving Agility in Software Development Using Full Stack Technologies in Cloud-Native Environments.” International Journal of General Engineering and Technology 10(2):131–154.
12. Kuhn, T.S.: The Structure of Scientific Revolutions, 2nd ed University of Chicago Press, Chicago (1970).
13. Lewis, M., and Mitchell, M.: Evaluating the robustness of analogical reasoning in GPT models. Transactions of Machine Learning Research, February 2025.
14. Liu G, Shen H (2017) Minimum-cost cloud storage service across multiple cloud providers. IEEE/ACM Trans Networking 25(4):2498–2513.
15. Liu J, Shen H, Chi H et al (2020) A Low-Cost Multi-Failure Resilient Replication Scheme for High-Data Availability in Cloud Storage. IEEE/ACM Trans Networking 29(4):1436–1451.
16. Mansouri Y, Toosi AN, Buyya R (2017) Cost Optimization for Dynamic Replication and Migration of Data in Cloud Data Centers. IEEE Trans Cloud Comput 7(3):705–718.
17. Mansouri Y, Toosi AN, Buyya R (2017) Data Storage Management in Cloud Environments: Taxonomy, Survey, and Future Directions. ACM Comput Surv 50(6):1–51.
18. Martens B, Walterbusch M, Teuteberg F (2012) Costing of Cloud Computing Services: A Total Cost of Ownership Approach. In: Proceedings of the 45th Hawaii International Conference on System Sciences (HICSS 2012), IEEE, pp 1563–1572.
19. Micheli A (2009) Neural Network for Graphs: A Contextual Constructive Approach. IEEE Trans Neural Netw 20(3):498–511.
20. Milani OH, Motamedi SA, Sharifian S et al (2021) Intelligent Service Selection in a Multi-Dimensional Environment of Cloud Providers for Internet of Things Stream Data through Cloudlets. Energies 14(24):8601.
21. Mohan, Priyank, Murali Mohana Krishna Dandu, Raja Kumar Kolli, Dr. Satendra Pal Singh, Prof. (Dr.) Punit Goel, and Om Goel. 2021. Real-Time Network Troubleshooting in 5G O-RAN Deployments Using Log Analysis. International Journal of General Engineering and Technology 10(1).
22. Mohan, Priyank, Nishit Agarwal, Shanmukha Eeti, Om Goel, Prof. (Dr.) Arpit Jain, and Prof. (Dr.) Punit Goel. 2021. “The Role of Data Analytics in Strategic HR Decision-Making.” International Journal of General Engineering and Technology 10(1):1-12.
23. Mohan, Priyank, Satish Vadlamani, Ashish Kumar, Om Goel, Shalu Jain, and Raghav Agarwal. 2021. Automated Workflow Solutions for HR Employee Management. International Journal of Progressive Research in Engineering Management and Science (IJPREMS) 1(2):139–149.
24. Ravi, V. K., Musunuri, A., Murthy, P., Goel, O., Jain, A., & Kumar, L. Optimizing Cloud Migration for SAP-based Systems. Iconic Research and Engineering Journals (IREJ) 5(5):306–327.
25. Ravi, V. K., Tangudu, A., Kumar, R., Pandey, P., & Ayyagari, A. Real-time Analytics in Cloud-based Data Solutions. Iconic Research and Engineering Journals (IREJ) 5(5):288–305.
26. Resnik, D.B.: Playing politics with science: balancing scientific independence and public oversight. Oxford University Press, New York, NY (2009).
27. Resnik, D.B.: The price of truth: how money impacts the norms of science. Oxford University Press, New York (2007).
28. Sengar, Hemant Singh, Phanindra Kumar Kankanampati, Abhishek Tangudu, Arpit Jain, Om Goel, and Lalit Kumar. 2021. “Architecting Effective Data Governance Models in a Hybrid Cloud Environment.” International Journal of Progressive Research in Engineering Management and Science 1(3):38–51.
29. Sengar, Hemant Singh, Satish Vadlamani, Ashish Kumar, Om Goel, Shalu Jain, and Raghav Agarwal. 2021. Building Resilient Data Pipelines for Financial Metrics Analysis Using Modern Data Platforms. International Journal of General Engineering and Technology (IJGET) 10(1):263–282.
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Copyright (c) 2025 Dr. Alistair Vance
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