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Latest Publications

4 best practices for making test automation more effective, from codeless to open source

Continuous, automated software testing can save your business a huge amount of time and money, and prevent headaches down the line. But, depending on your organization's strategy, automation can create as many problems as it solves. Whether you're implementing test automation from scratch or already have a methodology in place, this eBook shares tips for optimizing test automation.

O'Reilly | Fundamentals of Data Observability

Quickly detect, troubleshoot, and prevent the propagation of a wide range of data incidents through Data Observability, a set of best practices that allow data teams to gain greater visibility of data and its usage. If you're a data engineer, ML engineer, or data architect, or if the quality of your work depends on the quality of your data, this book shows how to focus on the practical aspects of introducing Data Observability in your day-to-day work.

5 reasons changing performance platforms shouldn't be scary

Maybe you've thought about changing your performance testing platform, but have a lot of fears: Will you waste money? Lose valuable time? Open your company up to risk? Change doesn't have to be scary. Read this eBook to learn five reasons why changing performance testing platforms shouldn't be frightening, and a few strategies to ensuring your migration is a success.

Why manual testing for ServiceNow doesn't work - and what to do about it

Here's the simple truth: ServiceNow's digital workflows are only as effective as your release process allows them to be. This is why organizations have honed in on testing as a source of strategic advantage to help them release faster, improve the customer experience, and boost productivity.