FINOPS AND OBSERVABILITY: OPTIMIZING CLOUD RESOURCE MANAGEMENT FOR COST EFFICIENCY

Authors

  • Vaidyanathan Sivakumaran Bellevue University, Nebraska, USA Author

Keywords:

FinOps, Cloud Observability, Resource Optimization, Artificial Intelligence, Financial Accountability

Abstract

The integration of Financial Operations (FinOps) with observability practices represents a transformative approach to cloud resource management and cost optimization. As organizations face increasing complexity in cloud environments, the need for sophisticated financial management and operational oversight has become paramount. This article explores how the combination of FinOps principles with advanced observability techniques, enhanced by artificial intelligence and machine learning, enables organizations to achieve better control over cloud expenditure while maintaining optimal performance. The article examines the evolution of cloud cost management, the role of AI-powered resource optimization, and the implementation of effective chargeback models, demonstrating how these integrated approaches contribute to improved financial accountability and operational efficiency in cloud computing environments.

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Published

2025-01-20

How to Cite

Vaidyanathan Sivakumaran. (2025). FINOPS AND OBSERVABILITY: OPTIMIZING CLOUD RESOURCE MANAGEMENT FOR COST EFFICIENCY. INTERNATIONAL JOURNAL OF RESEARCH IN COMPUTER APPLICATIONS AND INFORMATION TECHNOLOGY (IJRCAIT), 8(1), 368-382. https://ijrcait.com/index.php/home/article/view/IJRCAIT_08_01_032