Year: 2025 | Month: December | Volume 13 | Issue 2
Agentic AI and the Future of Cloud Computing Architecture
Sumitra Das and Rahul Kumar Chawda
DOI:10.30954/2322-0465.2.2025.10
Abstract:
Cloud computing has made it easier for many industries to use computing resources whenever they need them and to scale up when demand increases. However, modern cloud systems have become very complex because they rely on containers, microservices, serverless functions, and edge devices. Managing these systems through manual effort or fixed rule-based automation is becoming increasingly difficult. Agentic Artificial Intelligence (Agentic AI) can transform how cloud systems are managed. Unlike traditional AI,
which requires step-by-step human instructions, Agentic AI can observe the system, understand what is happening, plan actions, execute them, and improve based on feedback. This paper discusses how combining Agentic AI with cloud-native technologies can support cloud systems that can organize themselves, recover from failures, and scale automatically. It also examines the key design choices, security and trust concerns, real-world use cases, and future research directions. Overall, the paper presents Agentic AI as an important foundation for next-generation autonomous cloud platforms.
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