Automating AWS: Right-Sizing with AI and Machine Learning

Mohit Thodupunuri

Abstract: As cloud adoption accelerates, organizations face the challenge of balancing performance with cost efficiency in AWS environments. Right-sizing-selecting the optimal computing, storage, and networking resources-plays a critical role in minimizing waste while ensuring workload performance. However, manual right-sizing is complex, time-consuming, and prone to inaccuracies. This paper explores how Artificial Intelligence (AI) and Machine Learning (ML) can automate AWS right-sizing, improving efficiency, reducing costs, and enhancing scalability.

Keywords: AWS cost optimization, AI-based right-sizing, machine learning cloud management, automated AWS resources, intelligent workload optimization

How to Cite?: Mohit Thodupunuri, "Automating AWS: Right-Sizing with AI and Machine Learning", Volume 14 Issue 5, May 2025, International Journal of Science and Research (IJSR), Pages: 1386-1390, https://www.ijsr.net/getabstract.php?paperid=SR25521023904, DOI: https://dx.doi.org/10.21275/SR25521023904