Cloud Infrastructure Management in the Age of AI Agents
June 13, 2025 Β· Declared Dead Β· π ACM SIGOPS Operating Systems Review
"No code URL or promise found in abstract"
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Authors
Zhenning Yang, Archit Bhatnagar, Yiming Qiu, Tongyuan Miao, Patrick Tser Jern Kon, Yunming Xiao, Yibo Huang, Martin Casado, Ang Chen
arXiv ID
2506.12270
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.HC,
cs.LG,
eess.SY
Citations
6
Venue
ACM SIGOPS Operating Systems Review
Last Checked
4 months ago
Abstract
Cloud infrastructure is the cornerstone of the modern IT industry. However, managing this infrastructure effectively requires considerable manual effort from the DevOps engineering team. We make a case for developing AI agents powered by large language models (LLMs) to automate cloud infrastructure management tasks. In a preliminary study, we investigate the potential for AI agents to use different cloud/user interfaces such as software development kits (SDK), command line interfaces (CLI), Infrastructure-as-Code (IaC) platforms, and web portals. We report takeaways on their effectiveness on different management tasks, and identify research challenges and potential solutions.
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