AI-Driven Cloud Optimization : Transforming Modern Infrastructure Management

Authors

  • Ramamohan Kummara IIT Hyderabad, India Author

DOI:

https://doi.org/10.32628/CSEIT25112447

Keywords:

Artificial Intelligence, Cloud Computing, Resource Optimization, Machine Learning, Infrastructure Automation

Abstract

This article explores how AI-driven cloud optimization is transforming modern infrastructure management by enabling organizations to maximize their cloud investments while maintaining optimal performance. The convergence of artificial intelligence, machine learning, and cloud computing technologies has created systems capable of analyzing operational patterns, predicting resource requirements, and automatically adjusting cloud configurations without human intervention. It examines five key benefits of AI-driven optimization: cost reduction through intelligent resource allocation, performance enhancement via dynamic resource management, intelligent scalability through predictive capacity planning, operational automation that reduces IT burden, and environmental sustainability through efficient resource utilization. The article further analyzes three implementation approaches—cloud provider native tools, third-party optimization platforms, and custom AI solutions—while discussing critical technical considerations including data collection infrastructure, AI/ML model selection, integration requirements, and governance frameworks. The article concludes by examining emerging trends such as autonomous operations, cross-layer optimization, and quantum-enhanced optimization that will shape the future of cloud resource management and deliver even greater efficiency, performance, and business value.

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References

James Tsai, "Cloud Econ 101: Do your cloud investments pass the ROI test?," Google Cloud Blog, 2023. [Online]. Available: https://cloud.google.com/blog/transform/cloud-econonomics-101-measuring-it-infrastructure-investments-roi

Mohammed Faiz, "The Impact of AI and Machine Learning on Cloud Computing: Driving Innovation Forward," LinkedIn Pulse, 2024. [Online]. Available: https://www.linkedin.com/pulse/impact-ai-machine-learning-cloud-computing-driving-innovation-faiz-tfeyc

Sneha Gupta, "Using AI in Cloud Computing: Challenges, Solutions and Use Cases in 2025," Xicom Blog, Jan. 2025. [Online]. Available: https://www.xicom.biz/blog/ai-in-cloud-computing/

Prathamesh Vijay Lahande et al., "Reinforcement Learning Approach for Optimizing Cloud Resource Utilization with Load Balancing," IEEE Access, 2023. [Online]. Available: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10305171

CloudZero, "The State Of Cloud Cost In 2024," CloudZero Inc., Annual Report. [Online]. Available: https://www.cloudzero.com/state-of-cloud-cost/

Nilesh Suresh Jain, "The Unsung Mechanics: How AI And Cloud Integration Drive The Engine Of Sustainability," Forbes, February 2025. [Online]. Available: https://www.forbes.com/councils/forbestechcouncil/2025/02/20/the-unsung-mechanics-how-ai-and-cloud-integration-drive-the-engine-of-sustainability/

Gartner, "Solution Comparison for Public Cloud Third-Party Cost Optimization Tools," Gartner, Inc., 2019. [Online]. Available: https://www.gartner.com/en/documents/3976159

Spot by NetApp, "Cloud Optimization: The 4 Things You Must Optimize," Spot.io Resources. [Online]. Available: https://spot.io/resources/cloud-optimization/cloud-optimization-the-4-things-you-must-optimize/

Capgemini, "How to Utilize the Cloud Maturity Model," Capgemini. [Online]. Available: https://www.capgemini.com/fi-en/wp-content/uploads/sites/26/2022/12/CLOUD-MATURITY-MODEL.pdf

Ethan Lee, "AI-Driven Cloud Resource Optimization: A Developer’s Guide," DEV Community, January 2024. [Online]. Available: https://dev.to/vcian/ai-driven-cloud-resource-optimization-a-developers-guide-2h4

Prathyusha Nama et al., "AI-Driven Innovations in Cloud Computing: Transforming Scalability, Resource Management, and Predictive Analytics in Distributed Systems," International Research Journal of Modernization in Engineering Technology and Science 05(12):4165-4174, 2023. [Online]. Available: https://www.researchgate.net/publication/385215156_AI-DRIVEN_INNOVATIONS_IN_CLOUD_COMPUTING_TRANSFORMING_SCALABILITY_RESOURCE_MANAGEMENT_AND_PREDICTIVE_ANALYTICS_IN_DISTRIBUTED_SYSTEMS

Patel Hiral B. et al., "The Future of Quantum Computing and its Potential Applications," Quantum Research Gate Publication, 2023. [Online]. Available: https://www.researchgate.net/publication/375794385_The_Future_of_Quantum_Computing_and_its_Potential_Applications

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Published

15-03-2025

Issue

Section

Research Articles