Performance Testing
Test software performance under stress, load, and high traffic scenarios to ensure stability, scalability, and optimal user experience.
Overview
Performance issues can drive users away and cost you revenue. Our performance testing services identify bottlenecks, validate scalability, and ensure your application delivers fast, responsive experiences under all conditions.
We conduct load testing to validate performance under expected traffic, stress testing to find breaking points, spike testing for sudden traffic surges, and endurance testing for long-running stability.
Our detailed performance reports include response times, throughput metrics, resource utilization, and specific recommendations for optimization. We help you understand not just what's slow, but why and how to fix it.
Key Benefits
Identify performance bottlenecks
Ensure scalability under load
Improve user experience
Use Cases
Load testing websites
Stress testing APIs
Benchmarking enterprise applications
Technologies We Use
Frequently Asked Questions
What's the difference between load and stress testing?
Load testing validates performance under expected traffic levels. Stress testing pushes the system beyond normal capacity to find breaking points. We do both to understand your system's limits and ensure it handles expected load with headroom.
How do you determine testing scenarios?
We analyze your analytics data, user patterns, and business requirements to create realistic test scenarios. We simulate different user types, geographic distribution, and usage patterns to match real-world conditions.
Can performance testing be done in production?
We prefer testing in staging environments that mirror production. For production testing, we use careful load ramping, monitoring, and can stop tests immediately if issues arise. Some testing like real user monitoring happens in production.
What happens after performance testing?
We provide detailed reports with performance metrics, identified bottlenecks, and optimization recommendations. We can help implement optimizations and conduct follow-up testing to verify improvements.
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