The deploy was flawless. The customer found a bug in minutes.
That’s the moment you realize your integration tests are not working as you thought. A Proof of Concept for integration testing is the fastest way to expose gaps before they reach production. It’s not about fancy frameworks or endless documentation. It’s about proving, in the most direct way possible, that your services talk to each other the way you expect—and fail loud when they don’t.
An integration testing proof of concept starts with identifying the narrowest slice of your system that gives a real signal. Pick one feature that touches multiple components. Connect the database, API, and front end exactly the way they run in production. Avoid mocks unless they are essential to isolate a slow or external dependency. The goal is confidence, not convenience.
The process is simple. First, define the success criteria in concrete terms—real data flows, real calls, real states. Second, automate execution so that every change to your codebase triggers the proof of concept. Third, capture logs and results in a repeatable format, so regressions are visible immediately.