A flood of IoT events from city sensors should spawn more consumer workers automatically. What scaling pattern fits?
Select an answer to reveal the explanation.
Short Explanation
IoT floods are flash mobs for your message queue—you need more greeters when the crowd arrives. Event-triggered scaling spins up consumers as the stream surges, then can wind down later. Fixed yearly schedules won’t catch a sensor storm.
Full Explanation
Event-triggered scaling reacts to bursty event streams by increasing consumers or workers as events arrive. It suits IoT and queue-driven workloads where demand is spiky rather than clock-aligned. Cloud+ scaling scenarios include selecting event-driven elasticity for such municipal telemetry pipelines.