AI-Powered Cloud Automation: Revolutionizing Predictive Scaling

AI-powered cloud automation for predictive scaling represents a transformative advancement in cloud computing resource management. The integration of artificial intelligence and machine learning has revolutionized how organizations handle cloud resources, moving beyond traditional reactive scaling methods to proactive, intelligent systems. By leveraging sophisticated algorithms and real-time data analysis, predictive scaling solutions enable organizations to optimize resource allocation, reduce operational costs, and enhance application performance. These systems process multiple metrics simultaneously, from resource utilization patterns to user behavior analytics, enabling precise workload predictions and automated scaling decisions. The implementation of such systems has demonstrated substantial improvements in efficiency, cost reduction, and operational excellence while minimizing manual intervention requirements and enhancing overall system reliability.

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Publication Details

Journal
European Journal of Computer Science and Information Technology
Published
2025-03-15
DOI
https://doi.org/10.37745/ejcsit.2013/vol13n101123
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
0.00
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article

AI-Powered Cloud Automation: Revolutionizing Predictive Scaling

Chaitanya Teja Musuluri
European Journal of Computer Science and Information Technology
Cloud Computing and Resource Management
article

AI-Powered Cloud Automation: Revolutionizing Predictive Scaling

Chaitanya Teja Musuluri
article en

Abstract

AI-powered cloud automation for predictive scaling represents a transformative advancement in cloud computing resource management. The integration of artificial intelligence and machine learning has revolutionized how organizations handle cloud resources, moving beyond traditional reactive scaling methods to proactive, intelligent systems. By leveraging sophisticated algorithms and real-time data analysis, predictive scaling solutions enable organizations to optimize resource allocation, reduce operational costs, and enhance application performance. These systems process multiple metrics simultaneously, from resource utilization patterns to user behavior analytics, enabling precise workload predictions and automated scaling decisions. The implementation of such systems has demonstrated substantial improvements in efficiency, cost reduction, and operational excellence while minimizing manual intervention requirements and enhancing overall system reliability.

European Journal of Computer Science and Information TechnologyVol. 13(10)
Amazon (United States) (US)
Openalex Percentile: Top 88%
Cloud Computing and Resource Management
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AI-Powered Cloud Automation: Revolutionizing Predictive Scaling — Chaitanya Teja Musuluri · European Journal of Computer Science and Information Technology (2025) | TGRS Research Map | TGRS