Taylor Swift's Eras Tour broke records, hearts, and the Internet itself. Even if you're not a Swiftie, web developers and QAs can learn many lessons from this event. Marcus Merrell explains.

Whether you’re building a web application, a mobile app, or any other software product, integrating with third-party APIs is almost inevitable. But what happens when you need to test your application’s behavior without relying on these external services? That’s where the magic of simulation comes in handy. In this blog, we’ll explore how you can simulate responses effectively, even if the actual service isn’t available.

Data governance and data quality are closely related, but different concepts. The major difference lies in their respective objectives within an organization’s data management framework. Data quality is primarily concerned with the data’s condition. It ensures the data is complete, accurate, reliable, and consistent. On the other hand, data governance refers is the overall management, maintaining compliance, and ensuring the security of data assets within an organization.

In today's dynamic software landscape, teams struggle with where to invest their time: new feature testing or regression testing. Obviously, ensuring the reliability and stability of applications is paramount so that the end-user experience is not impacted. However, teams must also ensure that new features and capabilities that will propel the company's business to the next level are also properly tested and ready to be put in the hands of the end users.

If the term “API” puzzles you and you feel lost in a world of tech talk, this guide is for you. APIs, or application programming interfaces, act as the language that allows different software applications to talk to one another. Imagine you’re ordering a coffee at a cafe; the API is like the waiter who takes your order to the barista and then brings your coffee to you.

This series explores and compares the Jenkinsfile and Bitrise YAML, the scripting languages for Jenkins and Bitrise CI/CD pipelines, focusing on their unique approaches to automation in app development, starting with mobile.

The ever-growing tide of data, fueled by analytics and AI, places a significant strain on data center resources and increases energy consumption. With more stakeholder scrutiny and evolving regulations, such as the EU’s Corporate Sustainability Reporting Directive (CSRD), and U.S. regulations on the horizon, organizations are taking notice now more than ever before. As a result, organizations are prioritizing sustainability in their IT strategies.

Releasing software is often a sequence of repetitive activities, including critical quality gates to assure the right version, configuration, and scope are deployable and releasable. In those critical moments, we want our release quality and risks to be predictable against expected outcomes and behaviors – we want to mitigate any potential risks associated with new changes.

In this blog, we will demonstrate how to get the code coverage data for each incoming request on a python web server built using any web framework.

Functional testing is a type of software testing that validates web or mobile applications against pre-determined specifications and requirements. The goal is to ensure that the software performs as expected by both developers and end-users. Functional testers aim to emulate real-world scenarios and user pathways, testing not only for functionality but also for non-functionality, such as how the app behaves in airplane mode or when a video buffers.