The evolution of cloud pricing: Transforming FinOps in the modern era

Cloud computing has revolutionized enterprise IT infrastructure by introducing dynamic pricing models and sophisticated resource management strategies. The evolution from basic utility computing to AI-driven optimization has transformed how organizations handle their cloud resources and associated costs. This transformation has given rise to Cloud Financial Operations (FinOps), a specialized discipline combining technical expertise with financial management principles. The advancement of cloud pricing models, from simple pay-as-you-go to complex multi-cloud strategies, has created both opportunities and challenges for organizations. Integrating artificial intelligence and machine learning has further enhanced the capability to optimize resource allocation, predict usage patterns, and automate cost management decisions. These developments have established FinOps as a critical business function essential for maintaining cost efficiency while ensuring optimal performance in modern cloud environments.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-30
DOI
https://doi.org/10.5281/zenodo.17277824
Primary Topic
Advanced Multi-Objective Optimization Algorithms
Type
article
Field-Weighted Citation Impact
0.00
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article

The evolution of cloud pricing: Transforming FinOps in the modern era

Zenodo (CERN European Organization for Nuclear Research)
Advanced Multi-Objective Optimization Algorithms
article

The evolution of cloud pricing: Transforming FinOps in the modern era

article en

Abstract

Cloud computing has revolutionized enterprise IT infrastructure by introducing dynamic pricing models and sophisticated resource management strategies. The evolution from basic utility computing to AI-driven optimization has transformed how organizations handle their cloud resources and associated costs. This transformation has given rise to Cloud Financial Operations (FinOps), a specialized discipline combining technical expertise with financial management principles. The advancement of cloud pricing models, from simple pay-as-you-go to complex multi-cloud strategies, has created both opportunities and challenges for organizations. Integrating artificial intelligence and machine learning has further enhanced the capability to optimize resource allocation, predict usage patterns, and automate cost management decisions. These developments have established FinOps as a critical business function essential for maintaining cost efficiency while ensuring optimal performance in modern cloud environments.

Zenodo (CERN European Organization for Nuclear Research)
Bank of America (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 43%
Advanced Multi-Objective Optimization Algorithms
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