SaaS Performance
Testing Service

Load testing measures the application's performance at the expected load. Stress testing pushes past it to find where the system breaks; unlike stress testing, spike testing is about the shape of the arrival rather than the ceiling. Endurance testing, also called soak testing, holds a realistic load over an extended period so memory leaks and performance degradation have time to show. Scalability testing asks whether more hardware actually helps, volume testing does the same for data, and configuration testing compares operating systems and settings. Stability testing is what all of it adds up to.

First we identify performance acceptance criteria with you, because a test without agreed performance requirements can only produce numbers, not a verdict. Then a workload model: how actual users behave, how many concurrent users to simulate with virtual users, which test scenarios matter. Test scripts are built and validated, a performance testing environment is agreed as close to your production environment as budget allows, and test execution begins. When we run performance tests the numbers land next to monitoring tools output, so test results explain system behavior instead of just recording it.

Yes, and for a product team that is where it belongs. Automated performance testing inside CI/CD pipelines turns a release gate into continuous testing: every build runs the same tests, and a regression in response times is caught the day it is introduced rather than the week before launch. Continuous testing practices move performance work earlier in the software development lifecycle, next to functional testing and regression testing, which is where fixing it is cheapest.

Response times at the percentiles your users actually feel, throughput, error rate, and resource utilization on the hosts. Memory usage over an extended period is the one teams skip and then regret: memory leaks do not show in a twenty-minute run. Resource usage trends tell you whether consistent performance is real or whether the system is quietly consuming its own headroom. Performance monitoring during the run is what turns raw numbers into a diagnosis.

A performance tester who only reports that something is slow has done half the job. We identify potential bottlenecks by correlating load with what the system was doing at that moment, then reproduce the failure in isolation to prove the cause. Poor performance usually has a single dominant reason, and naming it is the difference between a report and a fix. Performance problems that survive a retest are the only ones worth escalating.

There are many performance testing tools, and the right performance testing tool is usually the one your team can keep running after we leave. We work with JMeter, k6, Gatling and LoadRunner, and with our own platform when you want the scripts and results to persist between engagements. Testing tools matter less than the workload model behind them: effective performance testing is a method, not a licence.

Because your customers deploy your software into estates you do not control, and software performance issues surface as your reputation rather than their infrastructure. Building application performance testing into the software development process protects software quality the way quality assurance protects correctness: it gives you evidence about the system's ability to hold its promises before a customer discovers otherwise. Two of the six engagements on this page were commissioned by vendors who needed an unaffiliated party to measure their own product, which is the same argument from the other side. Our full performance testing services cover the whole cycle, from a single test to a standing testing methodology and the test coverage that goes with it.