happy-sim-add-instrumentation

You can add observability to a discrete-event simulation by inserting probes, latency trackers, and throughput monitors to collect metrics like queue depth and end-to-end latency for performance analysis.

The best way to track queue depth and end-to-end latency in a simulation is to add dedicated probes and latency trackers that collect performance metrics directly from the discrete-event environment.

Yes, you can visualize simulation metrics like throughput using Python libraries to generate either interactive charts for live debugging or static plots for performance analysis.

You measure event processing throughput in a discrete-event simulation by adding throughput monitors that calculate the number of events processed per unit of time.

Yes, this instrumentation approach works with existing simulation scripts by adding probes and trackers directly to the code, requiring no dependencies to facilitate performance analysis.