Integration Testing

Modern software is a web of moving parts: modules, microservices, databases, payment providers, third-party APIs. Each piece can be tested in isolation and look perfectly healthy, yet the system as a whole can still break, because integration introduces a whole new class of problems. Data formats that do not quite match, assumptions about timing or order, a partner API that behaves differently than its documentation, an error in one service that cascades into another. None of these show up when you test components alone.

Integration testing targets exactly those seams. We verify that data flows correctly between your components and services, that failures in one part are handled gracefully by the others, and that the whole orchestrated journey behaves as intended end to end. These are often the defects that are most painful in production, intermittent, hard to reproduce, and capable of corrupting data, which is precisely why finding them in testing is so valuable.

We map how your components, services and external dependencies actually interact, then test those interactions deliberately, the data they exchange, the order they expect, the contracts between them. We pay particular attention to the unhappy paths: what happens when a service is slow, an API returns an error, or data arrives in an unexpected shape, because robust integration is defined by how gracefully it handles things going wrong.

Where it helps, we use techniques like service virtualisation to test against dependencies that are hard to exercise on demand, so we can deliberately simulate failures and edge conditions you would otherwise only meet in production. Every issue is reported with the precise interaction that triggered it, so your developers can fix the seam rather than guess at it.