Systems | Development | Analytics | API | Testing

Test your whole backend without starting any of it. In this demo, Keploy records real API traffic from an order service running on Kubernetes and turns it into API tests and dependency mocks automatically: MySQL, HTTP and DNS calls included. Then it replays those tests against a digital twin of the backend, so nothing else needs to be running.

Wondering which of your AI-driven tests need attention right now? Watch this video to learn how SmartBear BearQ spots flaky tests and failure trends the moment they happen, so you always know exactly where to focus. Each report summarizes what happened and surfaces the issues BearQ detected, whether while exploring your app or running a scheduled test. Drill into failed tests to see exactly which runs broke and why, track trending results over time, and review open issues found across both passing and failing runs.

Your data quality tools check data inside their scope. But can they tell you whether data is still right after it moves across three systems and five transformations? In this video, Adnan from Tricentis explains the gap that data quality tools were never designed to fill. Data moves from your ERP to your data warehouse, to your reporting layer, and from one cloud to another, and every boundary it crosses is a chance for something to change. Learn how end-to-end testing and data reconciliation complement your existing tools by testing data from source to target.