Systems | Development | Analytics | API | Testing

Launching a website is only half the fight. What seems perfect in development can easily fail when exposed to real-life usage, browser oddities, device quirks, slow performance, or crucial functionalities breaking at scale. This is not only frustrating for customers, but it can also have consequences on lost revenue, loss of security, and reputational damage. Today's website testing tools cover this gap by validating functionality, performance, and user experience before items get to production.

Cross browser testing in Selenium helps teams ensure their websites work smoothly for everyone, no matter which browser or operating system they use. From Chrome to Safari, Firefox to Edge, each browser interprets code a little differently. Even the same browser can behave in surprising ways across versions or devices. That’s where Selenium WebDriver comes in.

Managing a large suite of automated tests, especially across multiple tools, can be overwhelming. The SmartBear MCP (Model Context Protocol) Server centralizes orchestration, monitoring, and prioritization so you can keep pipelines fast, reliable, and easy to manage. The demo video below shows MCP in action, and the sections that follow explain how each capability can help you get more out of both open-source and commercial testing tools. Explore these docs to learn how to get started.

Hey! Quite a time right? Well we are back with another topic which is Mockito Spy. So you have ever been working with the unit tests and heard about this thing called Mocktio Spy, right? Maybe at this time, you’re even thinking what makes it different from other regular mocks or what this is spy actually?

Modern application development demands speed, reliability, and reproducibility. But between third-party APIs, unstable backend services, and inconsistent test data, API development often struggles to achieve dependable environments for testing and iteration.

Ephemeral test environments have surfaced as a solution to DevOps teams’ growing challenges. Dealing with spiraling cloud costs and infrastructure maintenance is only getting more complex. Development teams find themselves competing for limited or stale environments while datasets grow larger. As a result, development velocity suffers. Application teams need realistic data for effective testing.