Preparing the next view without exposing private workflow data.
Performance engineering · Phased project
Find the missing seconds in the quote API
A fictional freight broker sees slow quote responses at dispatch handover. The service looks healthy in average-latency charts, yet a few long requests occupy every worker. Build a small synthetic quote service and controlled dependency stub before taking implementation tickets.
Learn to distinguish queueing, dependency delay, CPU work and measurement mistakes using reproducible observations.
What the team gains
Produce a reviewable diagnosis and guarded changes that could guide a team investigating customer-visible latency.
Before you start
Create a local quote endpoint and a deterministic carrier-price stub; no repository or dataset is supplied.
Use synthetic routes and a fixed workload manifest. Record runtime, machine resources and instrumentation settings.
Delivery agreement
Ten tickets in three phases. Estimates assume the local service and generator already exist; all load runs stay in the owned local environment. Budgets are exercise requirements, not measured platform results.
AI tools are welcome during implementation. Record assumptions, review the result, and verify its behavior.