Gestão de Custos em Computação em Nuvem: um estudo sobre desperdícios financeiros e estratégias de correção
Resumo
Este artigo apresenta um estudo que buscou analisar se profissionais da área de Computação em Nuvem (CN) já identificaram a ocorrência de desperdícios financeiros em suas operações e quais estratégias e práticas foram adotadas para mitigar ou eliminar tais desperdícios, identificando se elas estavam aderentes as diretrizes do modelo FinOps. A pesquisa foi conduzida por meio de um survey disponibilizado via redes sociais e aplicativos de mensagens para profissionais da área de Computação em Nuvem. Participaram da pesquisa 28 profissionais de empresas distintas, de diferentes portes e áreas de atuação. Foi identificado que os participantes já enfrentaram problemas de custos com aplicações em nuvem, em especial o desperdício financeiro.Referências
Alkhatib, A., Sabbagh, A. A., and Maraqa, R. (2021). Pubic cloud computing: Big three vendors. pages 230–237. IEEE.
Bardin, L. (2011). Content analysis. São Paulo: Edições, 70(279):978–8562938047.
Bataev, A. V. (2018). Innovative forms of financial institution management: Cloud automated banking systems. In Third International Conference on Human Factors in Complex Technical Systems and Environments (ERGO)s and Environments (ERGO), pages 4–8.
Bataev, A. V. (2020). Performance evaluation of cloud services for russian companies. In 26th Conference of Open Innovations Association (FRUCT), pages 46–51.
Bryant, J. (2022). Driving into the Cloud: What is Finops? ITNOW, 64(3):54–55.
Choi, Y., Lee, S., and Ra, J. (2020). Research on the pricing model of public cloud services in the public sector. ICIC express letters. Part B, Applications: an international journal of research and surveys, 11(6):595–599.
Ding, Q., Tang, B., Manden, P., and Ren, J. (2018). A learning-based cost management system for cloud computing. In 2018 IEEE 8th Annual Computing and Communication Workshop and Conference (CCWC), pages 362–367. IEEE.
Fang, G., Li, X., and Cai, Z. (2017). Optimal pricing for service provision in iaas cloud markets. In 2017 International Conference on Computer Network, Electronic and Automation (ICCNEA), pages 205–209.
Kilcioglu, C., Rao, J. M., Kannan, A., and McAfee, R. P. (2017). Usage patterns and the economics of the public cloud. pages 83–91. International World Wide Web Conferences Steering Committee.
Krippendorff, K. (2018). Content analysis: An introduction to its methodology. Sage publications.
Linthicum, D. S. (2017). Cloud-native applications and cloud migration: The good, the bad, and the points between. IEEE Cloud Computing, 4:12–14.
Mileski, D. and Gusev, M. (2023). Finops in cloud-native near real-time serverless streaming solutions. In 2023 31st Telecommunications Forum (TELFOR), pages 1–4.
Ramchand, K., Chhetri, M., and Kowalczyk, R. (2021). An approach for the financial viability assessment of cloud migration projects. volume 2020-Janua, pages 5987–5996.
Storment, J. and Fuller, M. (2019). Cloud FinOps: Collaborative, Real-Time Cloud Financial Management. O’Reilly’s, first edition.
Zadorozhnyi, Z.-M., Desyatnyuk, O., Muravskyi, V., and Shevchuk, O. (2023). Combination of digital twin technology and finops in management accounting modeling. In 2023 13th International Conference on Advanced Computer Information Technologies (ACIT), pages 352–356.
Bardin, L. (2011). Content analysis. São Paulo: Edições, 70(279):978–8562938047.
Bataev, A. V. (2018). Innovative forms of financial institution management: Cloud automated banking systems. In Third International Conference on Human Factors in Complex Technical Systems and Environments (ERGO)s and Environments (ERGO), pages 4–8.
Bataev, A. V. (2020). Performance evaluation of cloud services for russian companies. In 26th Conference of Open Innovations Association (FRUCT), pages 46–51.
Bryant, J. (2022). Driving into the Cloud: What is Finops? ITNOW, 64(3):54–55.
Choi, Y., Lee, S., and Ra, J. (2020). Research on the pricing model of public cloud services in the public sector. ICIC express letters. Part B, Applications: an international journal of research and surveys, 11(6):595–599.
Ding, Q., Tang, B., Manden, P., and Ren, J. (2018). A learning-based cost management system for cloud computing. In 2018 IEEE 8th Annual Computing and Communication Workshop and Conference (CCWC), pages 362–367. IEEE.
Fang, G., Li, X., and Cai, Z. (2017). Optimal pricing for service provision in iaas cloud markets. In 2017 International Conference on Computer Network, Electronic and Automation (ICCNEA), pages 205–209.
Kilcioglu, C., Rao, J. M., Kannan, A., and McAfee, R. P. (2017). Usage patterns and the economics of the public cloud. pages 83–91. International World Wide Web Conferences Steering Committee.
Krippendorff, K. (2018). Content analysis: An introduction to its methodology. Sage publications.
Linthicum, D. S. (2017). Cloud-native applications and cloud migration: The good, the bad, and the points between. IEEE Cloud Computing, 4:12–14.
Mileski, D. and Gusev, M. (2023). Finops in cloud-native near real-time serverless streaming solutions. In 2023 31st Telecommunications Forum (TELFOR), pages 1–4.
Ramchand, K., Chhetri, M., and Kowalczyk, R. (2021). An approach for the financial viability assessment of cloud migration projects. volume 2020-Janua, pages 5987–5996.
Storment, J. and Fuller, M. (2019). Cloud FinOps: Collaborative, Real-Time Cloud Financial Management. O’Reilly’s, first edition.
Zadorozhnyi, Z.-M., Desyatnyuk, O., Muravskyi, V., and Shevchuk, O. (2023). Combination of digital twin technology and finops in management accounting modeling. In 2023 13th International Conference on Advanced Computer Information Technologies (ACIT), pages 352–356.
Publicado
21/07/2024
Como Citar
SOUZA, Zaira Aidano de; COLETI, Thiago Adriano; BALANCIERI, Renato; MORANDINI, Marcelo.
Gestão de Custos em Computação em Nuvem: um estudo sobre desperdícios financeiros e estratégias de correção. In: WORKSHOP SOBRE ASPECTOS SOCIAIS, HUMANOS E ECONÔMICOS DE SOFTWARE (WASHES), 9. , 2024, Brasília/DF.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2024
.
p. 141-151.
ISSN 2763-874X.
DOI: https://doi.org/10.5753/washes.2024.3160.
