FinOps-Driven Strategies for Large-Scale Cloud Cost Optimization
Goutham Bandapati · International Journal of Intelligent Systems and Applications in Engineering · 2024
The high migrations into cloud computing among the big businesses impose some challenges in terms of cost forecasting, visibility, and control. In this paper, the author presents the potential impacts of FinOps as an innovative model of bridging financial responsibility and engineering nimbleness. We will see the three fundamental stages namely Inform, Optimize and Operate and point out the clays in action namely the tagging, chargeback models, rightsizing and rate optimization in AWS, Azure and GCP. We produce cost savings of 20 to 40 percent through real life case studies. The research findings define FinOps as a tool of cost containment but also a strategic tool to maximize ROI, work on collaboration and instil a culture of financial responsibility to cloud-native environments. DOI: https://doi.org/10.17762/ijisae.v12i22s.7719