Serverless pricing depends on execution count and duration, not fixed capacity. This means costs align directly with usage patterns. During quiet periods, costs drop naturally. During spikes, costs increase proportionally. While this improves efficiency, it also requires new budgeting approaches.
Costs become usage-driven rather than capacity-driven. Waste is minimized.
Finance and engineering teams must collaborate more closely to forecast spending accurately.
Serverless costs scale directly with real-world demand.
[Google Cloud Blog, cloud.google.com]