Systems | Development | Analytics | API | Testing

I live in Copenhagen. The winter is dark and cold, and I need a coffee to get my day started. Luckily for me, there is a cafe in the building. I find enough energy to get myself into some decent winter clothing and leave the comfort of my warm apartment. The patient staff at the cafe gets me my Cappuccino and gently asks “Would you like to pay with the App or a Card”? I said, “with card please” – as do 90% of people in the Nordics.

Since semiconductor design comes with complex challenges and high stakes – including strict regulations, tight time-to-market timelines, and an immense cost of error – teams need strong, trusted design tools. These teams turn to electronic design automation (EDA) software to streamline and automate chip design, predict certain elements of the design process, and test their technology as they develop it.

In my previous post, we discussed how to take advantage of VPA to implement automatic vertical scaling for our Konnect Data Planes. In this post, we'll focus on HPA for horizontal Kubernetes Pods autoscaling.

At Honeybadger, we use Ahoy for first-party analytics in Rails. Ahoy is excellent for developers because it lives in your Rails application alongside your other data and code. Want to answer a specific question about your product or website visitors? It's just one ActiveRecord query away: Ahoy also works with Chartkick and Groupdate to visualize your data.

Today, we are excited to share insights into the strategic vision, product highlights, and the roadmap that will shape the future of data integration, analytics, AI, and machine learning. Click here to check out the webinar on-demand.

Among the many elements JMeter offers for creating test scenarios, the ForEach loop stands out as an efficient way of browsing and processing data. The ForEach loop in JMeter is a controller that allows you to cycle through the elements of a list or variable, executing the test samples included in the loop for each element iteratively. This is particularly useful when you need to perform tests with dynamic data, or when you want to repeat a sequence of samples for different values.

In the fast-changing world of software development, teams struggle to maintain good code quality while shortening development schedules. Continuous Testing (CT) in CI/CD pipelines stands out as a powerful strategy. It allows teams to weave testing directly into their development workflow, offering quick feedback and stronger quality assurance.

Microsoft Copilot is an LLM-powered AI assistant embedded across Microsoft software including its 365 productivity apps Word, Excel, PowerPoint and Teams. Copilot AI assistance features are designed to boost productivity and creativity by providing a natural language interface to knowledge, insights and workflows in Microsoft products.

How much time does your company spend manually preparing file data? Imagine a world where managing COBRA eligibility data is as simple as a few clicks, where files in myriad formats seamlessly transform into a standardized, compliant structure without hours of manual labor. For companies and consultancies managing employee benefits, standardizing and processing data files is a critical, yet challenging task.

Collective (adj): done by people acting as a group. Collective (noun) a cooperative enterprise. What do these definitions tell us about collective testing? In its most basic form, it is a practice where individuals come together to test products, software, or ideas. Beyond that, collective testing is a powerful tool that not only improves the quality of what’s being tested but also fosters a sense of community and shared purpose.