Load scenario design
We turn real user behaviour into scenarios, modelling concurrent user counts and transaction mix from your own usage data.
We establish your system limits by measurement rather than estimate.
Plan a load scenarioPerformance testing measures how an application behaves under load. We design load, stress, endurance and peak scenarios around your real usage profile, execute them, and report the results in a form that supports capacity decisions.
Performance problems tend to surface at the most expensive moments: campaign day, period-end processing, peak season. Slowdowns at those moments translate directly into lost revenue.
Knowing in advance where a system starts to struggle also takes capacity investment out of the realm of estimate. We measure against your real usage profile and base the capacity plan on the resulting data.
We turn real user behaviour into scenarios, modelling concurrent user counts and transaction mix from your own usage data.
We test the system at target load and beyond it, identifying the breaking point and the way it breaks.
We measure behaviour under sustained load and detect the signs of memory leaks and resource exhaustion.
We model campaign and seasonal peaks separately and measure the response to a sudden rise in load.
We analyse results across the application, database and infrastructure layers, and produce a capacity projection against your growth scenarios.
We plan around your release rhythm, manage the operation and improve it in every cycle.
We define scope, test levels and success criteria against your release calendar. Environment and test data requirements are resolved before the work begins.
We take on team, tool and environment management. Progress is reported regularly against defined KPIs.
We run the tests and prioritise the findings. We track closure together with your development teams.
At the end of every cycle we review scope, automation rate and escaped defect rate. The priorities for the next cycle are set from that review.
We run performance testing with Loadmance: cloud infrastructure generates load at high concurrency, and geographic distribution reflects your real traffic profile. Loadmance can also be purchased on its own; in the service model, scenario design, execution and analysis sit with us.
At major architectural changes, ahead of peak periods and at regular intervals. We can also connect a continuously running performance layer to the deployment pipeline.
We prefer a production-like test environment. Where production execution is required, we agree scope, timing and the rollback plan in advance.
We generate data that delivers the variety scenarios require without using production records. In regulated organisations, synthetic data generation is what satisfies both the compliance obligation and the need for realism.
Analysis is part of the service. Rather than raw metrics, we report which bottleneck sits in which layer and which action we recommend.

Complete the form and we will discuss your target concurrent user count, your critical business flows and your peak calendar.