AI-Augmented Cloud Support: Advancing Resource Management and  Diagnostic Intelligence

Sampath Rao Madarapu

AI-Augmented Cloud Support: Advancing Resource Management and Diagnostic Intelligence

Authors

Sampath Rao Madarapu

Keywords:

Cloud Infrastructure Management, Artificial Intelligence Integration, Natural Language Interfaces, Diagnostic Intelligence Systems, Human-AI Collaboration

Abstract

The complex nature of cloud infrastructure means that customary operational models are not as effective.Leveraging Artificial Intelligence and Large Language Models (LLMs) integrated with cloud controlplanes provides an effective solution for managing and optimizing cloud infrastructure. Generative AI systems enable technical teams to interact with cloud resources

References

Sumit Bhatnagar and Roshan Mahant, "Advancing Cloud Infrastructure Optimization Through AI Cloud Advisor," IJCRT, Mar. 2025. Available: https://www.ijcrt.org/papers/IJCRT2503388.pdf

Arun Pandiyan Perumal and Viralkumar Ahire, "Multi-Cloud Observability: Tools and Techniques for Monitoring and Troubleshooting Complex Hybrid Cloud Environments," IJRITCC, Jan. 2025. Available: https://ijritcc.org/index.php/ijritcc/article/view/11386/8732

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Published

2026-03-25

How to Cite

Sampath Rao Madarapu. (2026). AI-Augmented Cloud Support: Advancing Resource Management and Diagnostic Intelligence. Journal of Computational Analysis and Applications (JoCAAA), 35(3), 491–500. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/5210