System benchmarks that predict production
On This Lesson 4 topics
This lesson is planned. The outline below lists the topics it will cover. The full lesson has not been published yet.
In this lesson
design load tests whose results transfer to production.
Planned topics
- Model the workload: request mix, data size, think time, arrival pattern (open model, requests arrive regardless of response time).
- Closed-loop tests slow down when the system slows, hiding overload (coordinated omission); prefer a constant arrival rate with latency recorded from the intended send time.
- Use production-like data volume, resources, and dependencies (or realistic stubs with latency).
- Increase load in steps to find the saturation point; run long enough for warm-up and steady state.
Draft outline details
Demonstration
Test plan: workload mix, rate steps (1×, 5×, 10× forecast), duration, environment spec, pass criteria tied to SLO. Tools by role: a load generator that supports constant-rate arrivals; verify tool choices.
Check your understanding
Why prefer constant arrival rate?
Show answer
Closed loops back off when the system slows, hiding the latency users would see.
Practice
Apply this lesson with the module's lab, exercises and quiz.
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