Queue Throughput

A practical example

Example: before a product launch, you load-test with a synthetic event stream and find the platform processes 800 events per second with trigger latency under two seconds — but at 1,200 per second, latency climbs to minutes.

That measured ceiling shapes how you stagger the launch.

What to evaluate before investing

• Ask vendors for documented or committed throughput figures per workload class, and what conditions those numbers assume.
• Ask whether the platform exposes live throughput and queue-depth metrics so teams can observe processing rate during real peaks.
• Ask what happens at the ceiling — does latency degrade gracefully, do events back up, or are they dropped?

Limitations and tradeoffs

Throughput is workload-specific: a platform that handles simple triggers quickly may slow sharply on workflows with enrichment calls or wait steps, so benchmark with event profiles that resemble your real automations.