The latest News and Information on Software Testing and related technologies.
Speedscale was built primarily to provide engineering teams with better insight into their applications over time, replaying single transactions for root cause analysis that give developers and SREs confidence that tomorrow’s application code will work just as well in production as it did yesterday.
Qytera software is a company dedicated to providing fast and effective quality assurance for their customers. Their area of expertise includes Test Management, Test Automation, Continuous Testing and Agile Testing. All of this centered around the latest web and mobile technologies.
Fast product iteration yields low time-to-market, rapid response to user needs, and faster validation of new features. However, it also leads to tight testing windows. Automating software testing may be an instinctual response to demands for speed, yet striking a balance between automated and manual testing allows for greater control over the end-user experience.
Your testing team, from developers to testers, has put out a great amount of work to design test cases. Knowing that an error-free testing process simply does not exist, when it comes to the test execution, this one fails, while the rest passes. Or, is one of them is taking much longer to complete compared to previous runs? How do you determine if your tests have slowed down or increased their probability of failing? This requires context–historical logs from past sessions to be more specific.
Building on the promise to offer a swift testing experience to the testing community, Katalon is thrilled to announce the release of TestOps April 2021! This release adds multiple features such as integration with Pytest, Kobiton, the ability to execute Test Suites in parallel and more!
Testing in production simply means testing new code changes in production, with live traffic, in order to test the system’s reliability, resiliency, and stability. It helps teams solve bugs and other issues faster, as well as effectively analyze the performance of newly released changes. Its overall purpose is to expose problems that can’t be identified in non-production environments for reasons that may include not being able to mimic the concurrency, load, or user behavior.
