Systems | Development | Analytics | API | Testing

Atlanta, GA – March 6, 2020 – Katalon is proud to announce the launch of a new partnership program and two initial service partners, KMS Technology and KMS Solutions. The new program will leverage these partnerships to offer implementation and training services for Katalon’s award-winning test automation platform. Since its launch in 2015, Katalon has experienced exponential growth with thousands of worldwide users.

Xray gave us full traceability of the requirements from specifications to test plans and test results. As a medical device manufacturer, Xray helps us maintain compliance with regulations while saving us development effort and cutting reporting time by 50%. Medical device manufacturers operate in an increasingly regulated environment. These companies have a unique set of challenges with how they design, release and operate their products.

Introduction If you are a performance testing specialist or a QA Manager or Programme Manager or anyone involved in the production of quality software then you understand why performance testing is required and its benefits in ensuring your products meet your Quality Criteria for release into production.

Introduction Creating complex performance testing scenarios in JMeter can be a complicated but necessary problem you will encounter as you build tests to mirror real user behaviour in your testing. There are many add-ins that can support you in the creation of these scenarios. Which is good if they do what you want them to do.

Introduction The Beanshell Interpreter in JMeter can act as a server which as stated in the JMeter documentation is accessible by telnet or http. So what, I hear you say, well this can be useful and we will explore some of these uses in this Blog Post. Before we move on the definition of a Beanshell can be found on the official Web Site.

This blog post is a tutorial for writing Gatling scripts to load test web applications. It follows our first getting started with Gatling simulation scripts article. The application under test is a fake e-commerce. We are going to create a Virtual User that browses articles in this shop. To create a dynamic load test we will cover several topics.

The world is entering a new age of technology: codeless applications, which are accessible to users at all levels. Popular codeless tools like Wix or Squarespace are making significant changes to the way non-dev users get involved in the product development cycle. By going codeless, teams can now fill in the gap between the accelerating demands of product delivery and the skill sets of the team members. Software testing is not an exception to the movement towards codeless practices.

If you work in QA, you're probably accustomed to thinking of software monitoring as someone else's job. Traditionally, responsibility for monitoring applications fell to IT teams; QA's role ended with pre-deployment testing, and QA engineers did not usually touch monitoring tools. But the reality is that monitoring tools—meaning tools designed to help track application availability and performance, and also alert teams to problems—aren't just for IT teams.

Recompose is a React utility belt for function components and higher-order components that has been very useful to our frontend engineering team. After more than three years of working with it, we’ve identified a lot of pain points. In October 2018, the React team introduced Hooks which shipped with React v16.8 and provided an alternative to HOCs.

In our last post, we explored the pros and cons of Recompose and why we decided to remove it from our codebase. This post includes the strategy we used to approach the large task of implementing that refactor. It’s important to note that this strategy was created to fit our specific situation and is not a one size fits all approach to removing Recompose. Specifically, it was intended to work with our large codebase that is modified by our devs daily.