Performance Testing Services
Load, stress, and endurance testing to validate your application under real-world traffic.
Performance testing validates how your application behaves under load: response times, error rates, and resource limits before real traffic exposes bottlenecks.
We design realistic scenarios with JMeter or k6—login, search, checkout, API bursts—and interpret results in business terms, not just graphs.
For startups, the focus is usually baseline capacity and regression detection, not enterprise-scale soak tests on day one.
When this service fits
- You expect a traffic spike (launch, campaign, funding announcement)
- API latency or timeouts appear under concurrent users
- You are migrating infrastructure or changing database tiers
- Enterprise buyers ask about scalability evidence
How we work
- Define success criteria: p95 latency, error rate, throughput targets
- Model user journeys and peak concurrency assumptions
- Build and run load/stress scripts in staging
- Analyze bottlenecks (DB, API, CDN, third parties)
- Deliver tuning recommendations prioritized by impact
Benefits
- Identify bottlenecks before launch
- Capacity planning data
- SLA baseline establishment
- Scalability confidence
Deliverables
- Load test plan
- JMeter/k6 scripts
- Performance report
- Tuning recommendations
Tools
JMeter · k6 · Gatling · New Relic
Frequently asked questions
- Load testing in production—is that safe?
- We default to staging. Production tests only happen with explicit approval, off-peak windows, and safeguards against data corruption.
- What tools do you use?
- k6 and JMeter for most web/API workloads. We pick based on your stack, CI integration, and whether engineers need to maintain scripts.
- How is this different from monitoring?
- Monitoring tells you what happened in production. Load testing simulates demand before launch so you can fix issues proactively.