Optimizing Cloud Costs with Anomaly Detection and Event-Driven Automation
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
How to Cite?: Binoj Melath Nalinakshan Nair, "Optimizing Cloud Costs with Anomaly Detection and Event-Driven Automation", Volume 14 Issue 1, January 2025, International Journal of Science and Research (IJSR), Pages: 533-536, https://www.ijsr.net/getabstract.php?paperid=SR25111050909, DOI: https://dx.doi.org/10.21275/SR25111050909