Systems | Development | Analytics | API | Testing

The software industry is transforming rapidly due to new changes brought on by artificial intelligence (AI) and machine learning (ML). AI & ML have democratized many aspects of the software testing process helping businesses, small and large, save time and money. As AI bridges the technical gap required in many jobs, more people will be able to add tremendous value to development teams — without the need of a computer science degree.

A look at Qlik Replicate's zero-footprint architecture and how it is designed for scalability and flexibility.

As 2021 winds down, we wanted to share an overview of the new things the Zephyr team did this year to help you get to the next level of quality – and offer a sneak peek at things to come.

It is vital that you understand how garbage collection works in Ruby to stay in complete control of your app’s performance. In this post, we will dive into how to implement and customize garbage collection in Ruby. Let’s get going!

A recent survey from Wakefield Research finds that when enterprises build their own data pipelines, decision-making and revenue suffer.

Here at Ably, we’ve helped many people to solve some truly interesting, and at times wacky data distribution problems. Be it helping to organise transport for the healthcare sector, or acting as one of the key communication layers on a VR platform; in more and more aspects of our lives, we’re expecting online experiences to happen in realtime. Unsurprisingly though, one key use-case reemerges every time: chat.