Increasingly digital consumption of products and services, along with the shift to remote work and education, have significantly affected how software is developed and tested. According to Deloitte’s “2023 Quality Engineering Trends” report, “new technologies” is still the top factor driving testing spend.

With all of the excitement around Arm’s high performance processors, which are optimized for AI, our team wanted to test how easily ClearML would work with GPUs paired with Arm-based CPU compute when compared to GPUs combined with x86 chips.

In today's fast-paced business world, the only constant is change, and nowhere is this more evident than in the realm of digital transformation. According to a report by Harvard Business Review, 84% of organizations believe that digital transformation has already disrupted their industry, highlighting the urgency for businesses to adapt or risk being left behind. With new advancements in digital practices like AI, automation, and cloud computing, keeping pace is essential for survival.

For historical reasons, we have been using dynamic collection creation. This means that each new event creates a new collection in the database. While this provides some benefits, such as managing permissions on the collection level, it also has many downsides. And because we wanted to future-proof Countly, we decided to make this step and change the model, which will potentially allow us to do more in the future.

One of our recurring jobs at Tideways is to ensure that all of our instrumentation works with the new and upcoming PHP versions. For us, “working” doesn’t just mean that the results are correct, but that your PHP extension is fast, gathering insights for our customers with a minimal performance overhead.

Version 15 of OctoPerf bring a huge focus on continuous integration and Devops practices. We've taken steps to highlight existing integrations, add many others and we've thrown an entirely new report type on top of it.