Quality and assurance
Performance and stress engineering
Enterprise peaks are predictable; outages during them are not acceptable. We build load models from your production traffic, execute soak, stress and spike campaigns before the event, and hand your platform teams the tuning evidence.
Discuss your AI initiativeScope of work
Process
How an engagement runs
01
Scope
We agree what to test, against which benchmarks and thresholds.
02
Harness
A reproducible test or evaluation harness is built in your repositories.
03
Execute
Suites run on every release; failures are triaged with your team.
04
Report
Findings, evidence and a remediation backlog, written for review.
Questions
Common questions
What is performance and stress engineering?
Load, soak, stress and spike testing driven by models built from your production traffic, not synthetic guesses.
Which tools do you use for load testing?
k6 and JMeter, wired into CI so performance regressions are caught per release, not per incident.
When should we load test?
Before your peak, with time to fix what breaks. A first engagement is typically scoped eight to twelve weeks ahead of a seasonal peak or launch.