AI-Augmented Infrastructure Automation: Research Trends and Real-World Potential

Authors

  • Dillepkumar Pentyala

Keywords:

Infrastructure Automation, Artificial Intelligence, Reinforcement Learning, Infrastructure-as Code, Self-Optimizing Systems

Abstract

Infrastructure automation undergoes fundamental change through artificial intelligence adoption. Whatstarted as declarative provisioning using Terraform and Kubernetes tools now evolves into self-improvinginfrastructure layers where AI guides operational choices. Recent work in reinforcement learning,anomaly forecasting, and intent-based coordination shows how AI modifies capacity on the fly, predicts breakdowns, and optimizes

References

Adib Bin Rashid, MD, Ashfakul Karim Kausik, "AI revolutionizing industries worldwide: A comprehensive overview of its diverse applications," Hybrid Advances, ScienceDirect, Aug. 2024. DOI: https://doi.org/10.1016/j.hybadv.2024.100277 https://www.sciencedirect.com/science/article/pii/S2773207X24001386

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Published

2025-12-19

How to Cite

Dillepkumar Pentyala. (2025). AI-Augmented Infrastructure Automation: Research Trends and Real-World Potential . Journal of Computational Analysis and Applications (JoCAAA), 34(12), 579–589. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/4447

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Section

Articles