Performance Testing for a USA E-commerce Store Before a Big Sale
A US online store had crashed during its last two sales seasons. Pages froze, carts emptied and the support inbox filled up. Before the next sale, the founders looked at several providers and chose Fulminous Software, a software performance testing company with real e-commerce results.
They hired 4 engineers from our team. We built user journeys from their analytics, ran load and stress tests in stages and watched the servers and database throughout. The tests showed that a single product search query was choking the database long before the servers ran out of power. Their developers fixed it in two days, and we retested.
The sale went ahead without a single outage, and the site stayed fast at several times the normal traffic. The store now runs our tests before every campaign.
Results:
- No downtime during the biggest sale of the year
- Checkout speed held steady at peak traffic
- Infrastructure spend reduced after tuning
Performance Testing for a Healthcare Booking Platform in the UK
A UK healthcare booking platform slowed down every Monday morning, when thousands of patients tried to book at once. The team couldn’t tell whether the problem sat in the app, the API or the database. They asked us to find out.
A team of 3 engineers ran spike and endurance tests and monitored every layer. The slowdown came from a third-party appointment API that couldn’t keep up, plus a memory leak that built up over the week. We shared waterfall charts and a short fix list. Their team added caching and fixed the leak.
Monday mornings became the smoothest part of the week, and the platform kept us on for each new release.
Results:
- Booking pages stayed fast during Monday peaks
- Memory leak found and fixed before it caused outages
- Lower infrastructure cost after tuning
Continuous Performance Checks for a FinTech Platform
A fintech company released every two weeks, and each release had quietly made the payment screen a little slower. Nobody noticed until customers complained. They asked us to stop it from happening again.
A team of 2 engineers added short performance tests to the CI/CD pipeline and set agreed limits for response time. When a build crossed the limit, it was flagged before release. We also read their production metrics to compare test results with real-user behaviour.
Slow builds now get caught in minutes, and the team has stopped getting surprise complaints.
Results:
- Slow releases flagged before they reach customers
- Payment screen response times stayed within the agreed limit
- Clear reports for both developers and management
