Cloud Fin Ops Management
Creators
- 1. Currently Working as a DevOps Engineer Hyderabad (Telangana), India.
Description
Abstract: Cloud finops (financial operations) is the practice of optimizing and managing the financial aspects of an organization's cloud computing resources. It involves identifying cost savings opportunities, implementing financial governance, and using data analytics to track and optimize spending. The goal of cloud finops is to ensure that an organization's cloud resources are being used efficiently and effectively, while also minimizing waste and unnecessary spending. In this paper, we will review the key principles and practices of cloud finops, including cost optimization strategies, financial governance frameworks, and data-driven decision making. We will also discuss the benefits of adopting a cloud finops approach, including improved cost visibility, reduced waste, and better alignment with business goals.
Files
A35850313123.pdf
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Additional details
Identifiers
- DOI
- 10.35940/ijsce.A3585.13060124
- EISSN
- 2231-2307
Dates
- Accepted
-
2024-01-15Manuscript received on 10 September 2023 | Revised Manuscript received on 13 January 2024 | Manuscript Accepted on 15 January 2024 | Manuscript published on 30 January 2024.
References
- Cloud FinOps: Collaborative, Real-Time Cloud Financial Management [1 ed.] 1492054623, 9781492054627.
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- KPELOU, M., & Kishore, K. (2019). Lightweight Security Framework for Data Outsourcing and Storage in Mobile Cloud Computing. In International Journal of Recent Technology and Engineering (IJRTE) (Vol. 8, Issue 2, pp. 3405–3412). https://doi.org/10.35940/ijrte.b2239.078219
- Goyal, Ms. P., & Deora, Dr. S. S. (2022). Reliability of Trust Management Systems in Cloud Computing. In Indian Journal of Cryptography and Network Security (Vol. 2, Issue 1, pp. 1–5). https://doi.org/10.54105/ijcns.c1417.051322
- Yadav, Dr. S., Hussain, A., & Sharma, N. (2020). Security Issues and Risks for Banking Services under Cloud Computing. In International Journal of Innovative Technology and Exploring Engineering (Vol. 10, Issue 1, pp. 180–185). https://doi.org/10.35940/ijitee.a8160.1110120
- Mukherjee, P., Palan, P., & Bonde, M. V. (2021). Using Machine Learning and Artificial Intelligence Principles to Implement a Wealth Management System. In International Journal of Soft Computing and Engineering (Vol. 10, Issue 5, pp. 26–31). https://doi.org/10.35940/ijsce.f3500.0510521