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Study Papers | Computer Science and Information Technology | United States of America | Volume 14 Issue 1, January 2025 | Rating: 5.1 / 10
Optimizing Cloud Costs with Anomaly Detection and Event-Driven Automation
Binoj Melath Nalinakshan Nair
Abstract: With cloud services becoming central to business operations, optimizing costs is a priority. This study explores how anomaly detection, powered by machine learning, identifies inefficiencies in cloud resource usage. By integrating anomaly detection with event - driven automation, organizations can proactively address issues, reduce costs, and improve operational efficiency.
Keywords: Cloud management, cost optimization, machine learning, automation frameworks, cloud efficiency
Edition: Volume 14 Issue 1, January 2025,
Pages: 533 - 536