Systems | Development | Analytics | API | Testing

When running tests in a CI/CD pipeline, relying on external APIs can introduce instability, slow down execution, and even lead to failed builds due to rate limits or API downtime. Fortunately proxymock provides a solution by capturing API interactions and running a local mock server, enabling fully isolated and repeatable tests. In this blog, we’ll demonstrate how to integrate proxymock into a GitHub Actions CI pipeline using a demo app called outerspace-go.

If you’re looking for an alternative to Microsoft App Center, this article will cover the top considerations, and how Sauce Labs handles these in its Mobile App Distribution offering.

APIs power everything—from your favorite apps to critical business systems. But what happens when your API is subjected to large or unexpected traffic, security threats, or plunges under load? One weak link can destroy UX, destroy data or take down your service. API testing serves as your safety system beyond being a mandatory requirement. Faster development schedules and increased user demands during 2025 require organizations to make essential testing tool choices.

Volume testing is a type of software performance testing that evaluates a system’s capacity to process massive data volumes within a specific timeframe. It identifies bottlenecks, crashes, or inefficiencies under high data loads, ensuring performance, accuracy, and stability.

In coding land, it’s really important to ensure that your app behaves as it should, isn’t it? One of the ways people do this is by doing something called assertion testing. Assertion testing is about creating checkpoints in the form of assertions. They’re small tests that verify everything’s going as expected while the program’s executing its task.

From the technical perspective of QAs, investing in test automation is no longer a nice-to-have, but a necessity. However, the problem arises when they seek alignment with the non-technical stakeholders. To secure leadership buy-in, it is important that you translate the value of test automation into business value. More than just faster releases, it is also about having lower risk, better customer experience, and a stronger competitive edge.

Regression testing is notoriously repetitive and time-consuming. As your software grows in complexity, manually testing every existing features is just counter-productive. This is why regression testing is an ideal potential for automation. One of Katalon's customers, Liberty Latin America, upon adopting regression test automation, has seen 50% decrease in testing time, which ultimately translates into rippling benefits across the entire QA process.

API is the backbone of many software architecture. However, it is also one of the major points of technical conflict. When a major code update happens, it is really important to check on these APIs to ensure that those code modifications did not inadvertently break existing functionality. This is why API regression testing should be considered in your regression test planning.

Banking applications are the backbone of the modern financial system. They manage billions of transactions daily, secure sensitive user data, and ensure seamless financial operations across the globe. Just as a high-performance car requires rigorous testing before hitting the road to avoid accidents and breakdowns, banking applications must undergo extensive testing to prevent financial losses, security breaches, and operational failures.