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.

We are humans, and humans sometimes make mistakes. We make hundreds of decisions on a daily basis, and sometimes those decisions are not entirely based on rationality, but on cognitive biases. Anyone, including testers, can be subjected to the trappings of cognitive biases. Those biases are the result of years of evolutionary adaptation, and they allow us to make quick judgements (we all want to survive). However, they usually aren't the best judgements.

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.

Why now is the time for data leaders in financial services to address the challenges of tick data analysis — and how Snowflake can help.

‍Our commitment has always been to ensure that our developers enjoy a seamless experience on Bitrise. However, with every major tool or version update, there is always a potential for disruptions, especially for workflows that have grown reliant on the specifics of an older stack.

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.

As real-time experiences become integral to everyday life and data-driven technologies like GenAI drive the next wave of innovation, one thing is clear: real-time data is the key to enterprise growth. The Confluent OEM Program empowers MSPs, CSPs, and ISVs to quickly unlock new revenue streams by integrating the industry-leading data streaming platform into their customer offerings.

Ingestion and transformation are the primary workloads of real data warehouses.

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.