Performance Testing
Stress, spike, and scalability testing to ensure your application stays fast under high concurrent user load.
Why Performance Testing Matters
Identify performance bottlenecks through load, stress, scalability, and response-time testing.
Tools & Technologies We Use
What We Test
What This Looks Like In Practice
Peak Traffic Simulation
Ahead of a marketing campaign expected to multiply normal traffic, we build a JMeter/k6 load profile matching your actual peak pattern and run it against staging before the campaign goes live.
Database Bottleneck Root-Causing
When response times degrade under load, we correlate slow endpoints with database query logs and connection-pool metrics to find the specific query or missing index that's the actual bottleneck.
Soak Testing for Memory Leaks
We run a moderate, sustained load for 12-24 hours to catch memory leaks and connection exhaustion that only show up after hours of continuous operation, not in a 10-minute load test.
What You Walk Away With
Why We're a Good Choice for Performance Testing
Performance problems that only show up under real concurrent load are the hardest ones to reproduce after launch. We simulate your actual traffic patterns - not generic benchmarks - and dig past the symptom (a slow response) to the root cause (a database query, a memory leak, an under-provisioned service), so you fix what's actually broken instead of throwing infrastructure at a guess.
Common Questions About Performance Testing
Can you simulate our actual peak traffic patterns, not just generic load?+
Yes - we design load profiles around your real traffic data (peak concurrent users, request patterns, seasonal spikes) rather than testing against arbitrary benchmark numbers that don't reflect your product.
Do you help identify the root cause of a bottleneck, not just report that one exists?+
Root-cause analysis is part of the deliverable - we dig into database queries, memory usage, and infrastructure metrics to pinpoint the actual bottleneck, not just hand back a report saying response times were slow.
What tools do you use for load and performance testing?+
We use JMeter, k6, Gatling, and Locust depending on your stack and scale, with Grafana for real-time monitoring and reporting during test runs.
Need Performance Testing?
Talk to our QA specialists about performance testing for your product, or bring in a dedicated team for ongoing coverage.