Queue depth is a conversation starter

Background Jobs with BullMQ ends with a silent minute staring at a depth chart that should not be flat. Flat lines lie when producers pause.

We narrate the chart like weather: spikes after deploys, troughs during holidays, jitter when retries align. The second paragraph assigns homework to annotate one spike from their jobs with a timestamp hypothesis.

The third paragraph demystifies Redis memory. We show how to read used_memory_human without shaming anyone for small instances. Capacity planning language stays practical.

Finally, we invite alumni to send anonymized charts for a future community session—no fee, no funnel. Community is part of maintenance.