What is the scaling model referred to as when using Serverless and its event-driven architecture?

What is the scaling model referred to as when using Serverless and its event-driven architecture?

• A. Scale to maximum
• B. Scale to zero
• C. Scale to one
• D. Scale to event counts

Answer: (B)

In serverless, scaling is dynamic and driven by events. The term scale to zero describes the practice of running no instances when there are no requests, eliminating idle cost. When an event arrives, the platform automatically spins up the necessary instances to handle the load, and scales back down to zero as activity subsides. This on-demand, pay-per-use model is a core benefit of event-driven serverless architectures, allowing rapid reaction to spikes while avoiding paying for idle resources. Other options don’t fit because scaling to maximum would keep resources always on, wasting cost; scaling to one would cap concurrency to a single instance; and scaling to event counts isn’t a standard, defined mode in this context.

In serverless, scaling is dynamic and driven by events. The term scale to zero describes the practice of running no instances when there are no requests, eliminating idle cost. When an event arrives, the platform automatically spins up the necessary instances to handle the load, and scales back down to zero as activity subsides. This on-demand, pay-per-use model is a core benefit of event-driven serverless architectures, allowing rapid reaction to spikes while avoiding paying for idle resources.

Other options don’t fit because scaling to maximum would keep resources always on, wasting cost; scaling to one would cap concurrency to a single instance; and scaling to event counts isn’t a standard, defined mode in this context.