Systems | Development | Analytics | API | Testing

Recently, we created the Sauce Labs Open Program Office to focus our attention internally on how we support and contribute to the open source community. Last week, we proudly launched a new web site with comprehensive information about the office, including best practices, contribution guidelines for the Sauce team, and a new blog where Diego Molina and Christian Bromann will write regularly about all things open source. This article is cross-posted from the new blog.

Earlier this year, we released the second iteration of the Sauce Labs Continuous Testing Benchmark (CTB). Based on real-customer data from the more than 3 billion tests run on our platform, the CTB enables organizations to see how their continuous testing efforts stack up against critical best practices and how their own programs compare to those of other enterprises.

Today, we hope to make testing Absinthe a bit easier for you. We believe that it’s a great library for writing GraphQL applications, but if you previously haven’t done much work on an Absinthe application, you might find some things a bit tricky to test.

Are you excited over the prospect of more automation? I’m amped over it, jacked...you could say I’m even a little hyper over it . Hyperautomation is quickly becoming one of the IT buzzwords of the year.

This article is the fourth part of a series of tutorials dedicated to Gatling Load Testing. Kraken is used to ease the debugging of Gatling simulations and to speed up the process of load testing a fake e-commerce website: PetStore. We will focuse on POST requests and script modularization: In the previous blog post we created a realistic Virtual User that browses the store without buying anything.

Last week, our team at Katalon Studio partnered with Applitools to present a webinar: Top 5 Features to Look for in a Codeless Automation Solution. With the rise in demands for QualityatSpeed products, there’s no denying the benefit of automation testing software has on product development cycles: they shorten the release cycle, and fast to match the tech industry’s ever-changing nature with developments in the testing industry itself.