Automating FinOps in Cloud Computing: An Integrated Solution for Efficient Data Collection with Dynamic Scraper Generation
Anno:
2024
Tipologia prodotto:
Contributo in atti di convegno
Tipologia ANVUR:
Contributo in Atti di convegno
Lingua:
Inglese
Titolo del Convegno:
IEEE International Conference on Cloud Computing Technology and Science
Luogo:
Abu Dhabi (UAE)
Periodo:
9-11 December
Intervallo pagine:
1-6
Parole chiave:
FinOPS; Kubernetes; DevOPS; Cloud computing
Breve descrizione dei contenuti:
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.
Id prodotto:
142170
Handle IRIS:
11562/1144331
ultima modifica:
31 ottobre 2024
Citazione bibliografica:
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 CloudCom24
, Atti di "IEEE International Conference on Cloud Computing Technology and Science"
, Abu Dhabi (UAE)
, 9-11 December
, 2024
, pp. 1-6