Spring GDS 25th Anniversary
A logistics company that ships to 190 countries built something to ship to itself.
Load testing measures how a system behaves under the traffic it's expected to handle. You simulate a realistic number of concurrent users, push that volume through the application, and watch what happens to response times, throughput, and error rates. The goal is to confirm the system stays fast and stable at the load it will actually see in production, and to find the point where performance starts to degrade.
It helps to separate load testing from stress testing, because people use the terms interchangeably and they answer different questions. Load testing checks behavior at expected and peak-expected volumes. Stress testing deliberately pushes past those limits to find the breaking point and see how the system fails. A retailer expecting 5,000 shoppers during a sale would load test at 5,000 to confirm pages still load in time, then stress test beyond it to learn whether the system degrades gracefully or falls over. Both belong to performance testing, alongside endurance testing, which holds a sustained load for hours to catch slow memory leaks.
The value is in the numbers it produces before users generate them. A checkout that responds in 200ms with 100 users but crawls to 8 seconds at 3,000 has a problem worth knowing about ahead of launch day. Load tests run with tools that generate virtual users, and the results point straight at the bottleneck, whether that's a slow database query, an undersized server, or a missing cache.
We load test against real expectations, not round numbers that look good in a report. That starts with a question for the client: what does a normal day look like, and what does the worst plausible day look like? A product launch, a campaign spike, a seasonal rush. We model that traffic, run it, and read what the system tells us.
The results usually point somewhere specific, and that's the useful part. We trace the slowdown to its source and fix it, then run performance testing again to confirm the change held. When a client is heading into a high-stakes moment and isn't sure the infrastructure will hold, this is the work that turns nerves into evidence. We'd rather find the ceiling in a test than during the event.
Big traffic moment coming up? Let's make sure the system holds.
A logistics company that ships to 190 countries built something to ship to itself.
Turning a brand into a working business.
Half a million people. One app. Zero chaos.















