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September 10, 2025

Cloud Infrastructure Management in the Age of AI Agents

Key Points

AI agents enhance the management of cloud infrastructure, simplifying previously labor-intensive tasks.
Preliminary results indicate that AI agents using LLMs can effectively interact with various interfaces, including SDKs and CLIs.
Infrastructure-as-Code platforms were explored, revealing significant automation potential across different management tasks.
Challenges were identified in deploying AI solutions within DevOps practices, highlighting areas for future research and improvement.

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.

Cloud Infrastructure Management in the Age of AI Agents

Key Points

Abstract

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