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Automating AWS: Right-Sizing with AI and Machine Learning

Year: 2025

Type: article

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.

Source: International Journal of Science and Research (IJSR)

DOI: 10.21275/sr25521023904

Author: Mohit Thodupunuri

Language: English

Topic: Cloud Computing and Resource Management

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: diamond

OpenAlex ID: W4410747400

FWCI:

Cites: 1

Cited by:

Related to: 10