Cloud Infrastructure Management in the Age of AI Agents

Ang Chen; Archit Bhatnagar; Martin Casado; Patrick Tser Jern Kon; Tongyuan Miao; Yibo Huang; Yiming Qiu; Yunming Xiao; Zhenning Yang

Cloud Infrastructure Management in the Age of AI Agents

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arxiv 2506.12270 v1 pith:ZI7R5B7N submitted 2025-06-13 cs.AI cs.HCcs.LGcs.SYeess.SY

Cloud Infrastructure Management in the Age of AI Agents

Zhenning Yang , Archit Bhatnagar , Yiming Qiu , Tongyuan Miao , Patrick Tser Jern Kon , Yunming Xiao , Yibo Huang , Martin Casado

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Ang Chen

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classification cs.AI cs.HCcs.LGcs.SYeess.SY

keywords cloudinfrastructureagentsmanagementdifferentinterfacespotentialtasks

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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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cs.MA 2026-07 conditional novelty 6.0

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