French multinational automotive manufacturer Renault Group has been investing in Industry 4.0 since the early days. A primary objective of this transformation has been to leverage manufacturing and industrial equipment data through a robust and scalable platform. Renault designed an industrial data acquisition layer and connected it to Google Cloud, using optimized big data products and services that together form Renault's Industrial Data Platform.

Earlier this year, Perforce hosted the Embedded DevOps Summit, exploring solutions to modern challenges in the planning, development, and testing stages of embedded software. As part of this event, Warren Savage, Visiting Researcher at the Applied Research Laboratory for Intelligence and Security (ARLIS) at the University of Maryland, presented Secure Collaboration in Cloud-Based Chip Design Environments.

Last week, we shared information on BigQuery APIs and how to use them, along with another blog on workload management best practices. This blog focuses on effectively monitoring BigQuery usage and related metrics to operationalize workload management we discussed so far.

In software development, a fail-fast system is a tool that will notify when a failure is likely to occur. The philosophy of the fail-fast principle is formed around the idea that a system should stop normal operations rather than trying to continue working around a flawed piece of code. The fail-fast principle makes software bugs easier to detect earlier in the development cycle.

According to Harvard Business Review, South Korea is one of the leading countries in the world for technology innovation, and it’s among the top producers of new data. Technology is so ingrained in the national identity that it launched a “Digital New Deal” to lay the foundation for a digital economy that will facilitate growth and innovation, according to PR Newswire.

In this post, I’ll take a close look at asynchronous queries in Recoil. I’ll show you what the library is capable of and how it blends seamlessly with React. Let’s get going!

Many organizations are using Gitflow as a branching model for their use of Git and Github Checks to monitor their testing of code changes. This article highlights how following the Gitflow process for a Hotfix can produce unexpected results when using Github Checks and explains why this edge case occurs.

While Selenium IDE has been popular in the automated testing world, most teams using Selenium run into these problems. There are lots of different test automation tools—from easier ways to generate Selenium code to no-code SaaS (software as a service) options—all trying to solve these problems. In this article, we’ll talk about key differences between the following tools that represent the three main approaches to solving Selenium shortcomings.

Developing an application is one thing. Developing an application that actually delivers an excellent end user experience is another.

Any software development project will almost certainly have through several tests by the time it is finished, especially in an Agile testing environment where testing and development occur simultaneously. But, no matter how many tests you've conducted, there's really only one way to tell if your software can handle the actual demands your army of end-users will be throwing on it once it's nearly finished. It's known as load testing.