The Convergence of Financial Efficiency and Sustainability in Enterprise Cloud Management

As enterprises migrate to cloud environments, they face significant financial challenges including unexpected budget overruns, inefficient resource utilization, and complex cost governance issues. This article examines the critical cost optimization strategies that organizations can implement throughout their cloud migration journey. By exploring the implementation of FinOps frameworks, AI-driven forecasting systems, resource rightsizing methodologies, and architectural innovations such as serverless computing, the article provides actionable guidance for optimizing cloud expenditures while maintaining performance and scalability. Case studies from retail and financial services sectors demonstrate how organizations have successfully applied these strategies to achieve substantial cost reductions while enhancing operational capabilities. The article also addresses implementation challenges and emerging trends, offering a forward-looking perspective on cloud financial management that balances cost efficiency with business objectives and sustainability considerations.

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Publication Details

Journal
Journal of Computer Science and Technology Studies
Published
2025-05-23
DOI
https://doi.org/10.32996/jcsts.2025.7.4.110
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
0.00
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article

The Convergence of Financial Efficiency and Sustainability in Enterprise Cloud Management

John Wesly Sajja, Govindaraja Babu Komarina, Narendra Kumar Reddy Choppa
Journal of Computer Science and Technology Studies
Impact of AI and Big Data on Business and Society
article

The Convergence of Financial Efficiency and Sustainability in Enterprise Cloud Management

John Wesly Sajja, Govindaraja Babu Komarina, Narendra Kumar Reddy Choppa
article en

Abstract

As enterprises migrate to cloud environments, they face significant financial challenges including unexpected budget overruns, inefficient resource utilization, and complex cost governance issues. This article examines the critical cost optimization strategies that organizations can implement throughout their cloud migration journey. By exploring the implementation of FinOps frameworks, AI-driven forecasting systems, resource rightsizing methodologies, and architectural innovations such as serverless computing, the article provides actionable guidance for optimizing cloud expenditures while maintaining performance and scalability. Case studies from retail and financial services sectors demonstrate how organizations have successfully applied these strategies to achieve substantial cost reductions while enhancing operational capabilities. The article also addresses implementation challenges and emerging trends, offering a forward-looking perspective on cloud financial management that balances cost efficiency with business objectives and sustainability considerations.

Journal of Computer Science and Technology StudiesVol. 7(4)
Deloitte (United States) (US), Flashback Technologies (United States) (US), Mosaic Company (United States)
Openalex Percentile: Top 87%
Impact of AI and Big Data on Business and Society
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The Convergence of Financial Efficiency and Sustainability in Enterprise Cloud Management — John Wesly Sajja, Govindaraja Babu Komarina, et al. · Journal of Computer Science and Technology Studies (2025) | TGRS Research Map | TGRS