Publications

Automating FinOps in Cloud Computing: An Integrated Solution for Efficient Data Collection with Dynamic Scraper Generation  (2024)

Authors:
Lumpp, Francesco; Braga, Diego; Fummi, Franco; Bombieri, Nicola
Title:
Automating FinOps in Cloud Computing: An Integrated Solution for Efficient Data Collection with Dynamic Scraper Generation
Year:
2024
Type of item:
Contributo in atti di convegno
Tipologia ANVUR:
Contributo in Atti di convegno
Language:
Inglese
Congresso:
IEEE International Conference on Cloud Computing Technology and Science
Place:
Abu Dhabi (UAE)
Period:
9-11 December
Page numbers:
1-6
Keyword:
FinOPS; Kubernetes; DevOPS; Cloud computing
Short description of contents:
This paper introduces a framework to integrate Financial Operations (FinOps) practices in Kubernetes, addressing the challenge of managing cloud services’ costs across multi-cloud environments. The framework automates the collection of service providers’ costs by deploying Prometheus exporters and scrapers, then standardizes cost data according to the FinOps Cost and Usage Specification (FOCUS) through Large Language Models (LLMs). It enables automatic data analysis, implemented by a metrics aggregator, to compute insightful cost and quality of service optimizations. We present the experimental results on three standard cloud service providers, achieving up to 91% accuracy in automatic data standardization. The results corroborate that the framework helps simplify cloud cost management and promote FinOps principles.
Product ID:
142170
Handle IRIS:
11562/1144331
Last Modified:
October 31, 2024
Bibliographic citation:
Lumpp, Francesco; Braga, Diego; Fummi, Franco; Bombieri, Nicola, Automating FinOps in Cloud Computing: An Integrated Solution for Efficient Data Collection with Dynamic Scraper Generation  in CloudCom24Proceedings of "IEEE International Conference on Cloud Computing Technology and Science" , Abu Dhabi (UAE) , 9-11 December , 2024pp. 1-6

Consulta la scheda completa presente nel repository istituzionale della Ricerca di Ateneo IRIS

<<back

Activities

Research facilities

Share