Service
Performance & Load Testing
Load test your application before users do. We identify bottlenecks, measure response times under stress, and give you the confidence to scale.
What we test
Performance failures are often the most damaging — a slow checkout costs sales, a crashing API loses trust, and a service that falls over on launch day is a PR disaster. Our performance engineers design realistic load scenarios, run them against your application in staging or production, and deliver clear reports showing exactly where and why things slow down. We use modern tools including k6, Artillery, and Lighthouse, and work across web, API, and database layers.
- Load & Stress Testing
- Spike & Soak Testing
- API Performance Testing
- Core Web Vitals Audits
- Bottleneck Identification
- Scalability Reports
What you get
- Load test scenarios reflecting realistic and peak usage
- Response time benchmarks and percentile breakdowns
- Bottleneck analysis with root-cause identification
- Core Web Vitals audit (LCP, CLS, TBT) via Lighthouse
- Scalability recommendations and re-test confirmation
Frequently Asked Questions
- Before any major launch, after significant architectural changes, when traffic is expected to spike (e.g. a campaign or seasonal event), or if you have received complaints about slowness. It is far cheaper to find performance issues in staging than after a public incident.
- We primarily use k6 and Artillery for load and stress testing, and Lighthouse and WebPageTest for Core Web Vitals and front-end performance. The tool choice depends on whether we are testing APIs, full browser journeys, or static performance metrics.
- We recommend staging environments to avoid impacting real users. Where production testing is necessary (e.g. for accurate CDN or caching behaviour), we coordinate carefully with your team to test during low-traffic windows.
- Load testing measures how your application performs under expected peak traffic — checking it meets response time targets. Stress testing deliberately pushes beyond normal limits to find the breaking point, so you understand your headroom and how the system fails gracefully.
When should I invest in performance testing?
What tools do you use for performance testing?
Do you test in staging or production?
What is the difference between load testing and stress testing?
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