Keep your web app fast when traffic spikes
Model real user journeys — login, browse, search, checkout — and validate performance at 10x your expected peak load.
Challenges you face
Traffic spikes catch you off guard
Product launches, email campaigns, and seasonal events drive surges you haven't tested for.
Slow pages after deployments
New features introduce database queries, third-party calls, or render bottlenecks that weren't caught before release.
Realistic user flows untested
Testing individual endpoints misses the cumulative effect of full user journeys through the application.
How perfscale helps
User journey simulation
Model complete flows: landing page → sign-up → onboarding → core feature use. Test the full stack together.
Session & cookie handling
Maintain authenticated sessions across requests to simulate real logged-in user behaviour.
Spike and ramp tests
Simulate sudden traffic spikes, gradual ramp-ups, and sustained soak scenarios with configurable VU patterns.
E-commerce ready
Test cart, checkout, inventory, and payment flows under concurrent load — the scenarios that cost money when they fail.
Page-level breakdown
See latency by route, not just aggregate. Identify which pages degrade first as load increases.
Pre-release validation
Run load tests against staging before every significant deploy and block releases that degrade p95 latency.
What you get
- Test full user flows, not just endpoints
- Authenticated session support
- Spike, ramp, soak, and step-load profiles
- Validate CDN and caching behaviour
- Test search, filtering, and pagination at scale
- Catch slow database queries under concurrent load
- Validate third-party integrations under pressure
- Historical latency tracking per route
Stop finding out about slowdowns from your users
Model your traffic patterns and run your first web application load test today.
Get in touch