Optimizing Cloud Costs with Anomaly Detection and Event-Driven Automation
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.
Authors
- Binoj Melath Nalinakshan Nair
Publication Details
- Journal
- International Journal of Science and Research (IJSR)
- Published
- 2025-01-16
- DOI
- https://doi.org/10.21275/sr25111050909
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 0.00