The New Stack Makers

Moving workloads to the cloud presents cost prediction challenges. Traditional setups with on-premises hardware offer predictability, but cloud costs are usage-based and granular. In this podcast episode, Matt Stellpflug, a senior FinOps specialist at ProsperOps, discusses the complexities of forecasting cloud expenses with TNS host Heather Joslyn.Cloud users face fluctuating costs due to continuous deployments and changing workloads. There are additional expenses for data access and transfer. Stellpflug emphasizes the importance of establishing reference workloads and benchmarks for accurate forecasting.Engineers play a vital role in FinOps initiatives since they ensure application availability and system integrity. Stellpflug suggests collaborating with engineering teams to identify essential metrics. He co-authored an "Engineer's Guide to Cloud Cost Optimization," highlighting the distinction between resource and rate optimization. Best practices involve addressing high-impact, low-risk areas first, engagi