Leveraging Large Language Models (LLMs) for Automated Cloud Solution Design and Architecture: A New Paradigm in Cloud Computing

Abstract

Large Language Models (LLMs) are revolutionizing cloud computing by automating solution design and architecture, offering a transformative approach to address the growing complexity of cloud environments. This research explores how LLMs, with their advanced natural language processing capabilities, can analyze user requirements, generate architectural blueprints, optimize resource allocation, and ensure adherence to best practices and security standards. By integrating LLMs into the cloud solution lifecycle, organizations can reduce development time, enhance accuracy, and foster innovation while minimizing costs. However, challenges such as model reliability, scalability, and ethical considerations must be addressed to fully realize their potential. Through case studies and experimental evaluations, this paper highlights the practical applications and limitations of LLM-driven automation, showcasing its potential to redefine cloud solution design and architecture for a more intelligent and efficient future.