Test Data in Practice: Types and How to Work With Them

Managing test data is one of the most painful problems in test automation, especially in large fintech projects with dozens of microservices. In this talk, we'll walk through the full lifecycle of test data: from generation via factories to wiping and rollback. We'll show how to organize parallel runs without collisions, and why external mock services with auto-cleanup and lifecycle management are needed. Why the application architecture directly determines your test data strategy in cases where mocks alone are no longer enough.