Systems | Development | Analytics | API | Testing

Around the beginning of the year, I was asked my thoughts on overarching trends in DevOps for 2022. Some of the things I mentioned include AI, the shift-left/shift-right in test, more scrutiny in security, and the evolving need for simultaneous quality and speed you have likely read about on our blog and other publications that cover the DevOps space. However, the trend I mentioned that I have seen the most momentum behind as of late has been the need for accessibility.

With over 50,000 active organizations and 250 million workflows, CircleCI is one of the most popular networked CI platforms. When getting started with CI pipelines, teams typically want to ensure that code will compile, pass unit tests, and build a container image. After catching these low hanging fruit of syntax errors, engineering teams need to dig much further to find business logic and scalability errors.

There are various reasons for running Python browser automation tests locally, the most common one for us is saving time. Loadero test runs usually take no more than 5 minutes to initialize and start execution but can reach up to 10 minutes or more depending on how busy is the test run queue. To increase the speed of development, it’s often quicker to create the test script on your local machine and then run tests on Loadero.

AI Visual Testing has arrived in TestOps. Katalon’s new AI expands on our existing pixel comparison visual testing with two additional AI-enabled visual tests: content-based and layout-based These additional visual testing options greatly improve the speed and efficacy of UI quality testing.

End-to-end testing are an effective technique to develop high-quality online apps. Unfortunately, certain tests are slower than others, causing delays in the development process. Here are five pointers to help you keep your testing going well.

Automated software tests are much cheaper to execute, take less time to run, and are less susceptible to human error than manual testing. That’s why most software companies eventually build an automated test suite. There are many things to consider when first getting started with automated testing, but arguably the most important is choosing the right tool.

As the largest cloud-based CRM provider, Salesforce comes with comprehensive out-of-the-box usability while also accommodating high levels of customization, integration, and flexibility for their 150,000 strong customer base. In fact, the Salesforce ecosystem is 5 times larger than the platform itself and includes an extensive partner network and an app marketplace with 4,000 apps.

We are going to look at scalability testing in this Blog Post. On paper scalability testing is simple because all you are doing is increasing the load, but there are some common pitfalls that can be easily avoided. So you need to really understand what you are trying to achieve before you start.

Have you ever used an app on your mobile device and experienced slow load times, crashes, freezing screens, and privacy breaches? Or has your team discovered an error in an existing functionality weeks after you’ve launched an app? If you are a mobile app user, the answer is likely yes. As a consumer, you may have been triggered to delete the app completely, reinstall it, or download a competitor’s app.