Latency & throughput
Trace the critical path through application code, dependencies, and queues. Compare representative latency distributions and error rates under a controlled workload.
Adnan Rafiq · .NET performance expert
Slow requests, memory pressure, database contention, or performance that collapses under load. We investigate the constraint behind the symptom and measure the result of the fix.
A performance recommendation should explain what we observed, why it matters, and how we will verify the change.
Where we look
The right investigation depends on the workload. We choose measurements that can distinguish competing explanations.
Trace the critical path through application code, dependencies, and queues. Compare representative latency distributions and error rates under a controlled workload.
Investigate allocation, garbage collection, retained objects, thread-pool pressure, locks, and blocking when the evidence points there.
Follow expensive queries, unnecessary round trips, query shapes, execution plans, and locking. Connect database findings to user-visible behavior.
Keep representative benchmarks or load scenarios with the change, plus functional checks so a faster result is still a correct result.
Performance diagnostic
For a bounded investigation with the required access and a representative environment available. We confirm scope before kickoff.
Scope the diagnosticThe diagnostic buys a disciplined investigation. It does not guarantee a particular speedup or include an unlimited remediation effort. A delivery sprint or AI Engineering Pod can implement the agreed fixes.
Start with a real problem
Tell us which workflow suffers, when it happens, and what a useful improvement would look like.