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

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
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article

Optimizing Cloud Costs with Anomaly Detection and Event-Driven Automation

Binoj Melath Nalinakshan Nair
International Journal of Science and Research (IJSR)
Big Data and Business Intelligence
article

Optimizing Cloud Costs with Anomaly Detection and Event-Driven Automation

Binoj Melath Nalinakshan Nair
article en

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.

International Journal of Science and Research (IJSR)Vol. 14(1)
Openalex Percentile: Top 99%
Big Data and Business Intelligence
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Optimizing Cloud Costs with Anomaly Detection and Event-Driven Automation — Binoj Melath Nalinakshan Nair · International Journal of Science and Research (IJSR) (2025) | TGRS Research Map | TGRS