International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 8 Issue 2
March-April 2026
Indexing Partners
Intelligent Cost Optimization in Azure Using AI and Automation
| Author(s) | Shailaja Beeram |
|---|---|
| Country | United States |
| Abstract | With increasing cloud adoption, cost optimization has emerged as a strategic priority for enterprises. Managing cloud expenses effectively requires visibility, automation, and intelligence. Microsoft Azure provides a comprehensive suite of cost management and automation tools, enabling organizations to monitor, predict, and optimize resource consumption at scale. This paper explores AI-driven approaches to cost governance using Azure Cost Management, Automation Accounts, Machine Learning models, and Azure Advisor. It presents architecture and automation strategies for predictive scaling, budget enforcement, and FinOps integration. By leveraging artificial intelligence and automation, enterprises can achieve dynamic cost efficiency while maintaining performance and compliance across hybrid and multi-cloud environments. |
| Field | Engineering |
| Published In | Volume 7, Issue 5, September-October 2025 |
| Published On | 2025-10-09 |
| DOI | https://doi.org/10.36948/ijfmr.2025.v07i05.61076 |
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E-ISSN 2582-2160
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IJFMR DOI prefix is
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