Systems | Development | Analytics | API | Testing

In the prior blog, we previewed some of the reasons that we settled on using Anthropic’s Computer Using Agent (CUA) over other alternatives and promised to provide more information as to what and why, with facts and figures. If you haven’t read that blog, check it out here. In this blog, I hope we can bring to light some of the “why” behind our decisions, and what makes our agentic AI so powerful.

Amazon Web Services, or AWS, offers a variety of cloud services ranging from AWS resources such as CDNs and data lakes to cloud computing and transformation services such as compute resources, virtual servers, and dynamic availability zones. For this reason, AWS cloud is one of the most broadly adopted cloud solutions, offering a global network of solutions at generally lower costs compared to on-premises solutions.

In this article, we’ll explore the microservices journeys of these wildly successful enterprises. We’ll also examine why microservices have become a cornerstone for modern IT strategies and how they continue to evolve. But first, let’s look at the general circumstances that inspire enterprises to use microservices in the first place.

“AI is the new electricity,” as Andrew Ng, Co-founder of Google Brain and Coursera, famously put it, AI is now the driving force behind unprecedented innovation, reshaping everything from healthcare to finance and beyond. All of these sectors revolve around data.

MISRA C:2025 has just been published! What does this mean for organizations that rely on MISRA guidance for developing safety-critical systems? In this blog, we give an overview of the new release and what it means for your team.

Imagine you’re a toolmaker. You’ve got an old-school toolshed with loads of ancient equipment: hammers, pickaxes, all the stuff people used hundreds of years ago. And then one day you walk into your toolshed to find laser cutters, 3D printers and loads of other digital tools at your disposal. Life would suddenly seem a lot simpler, right?

Achieving cyber resilience is a constant challenge for even the largest and most experienced organizations and IT leadership teams. Studies, including one from our partner Veeam, show +75% of organizations experienced a ransomware attack in the past year. Those that didn’t are well-aware they may be next.

This comprehensive guide walks you through integrating the LoadFocus JMeter API Client with Jenkins to create automated, reliable performance testing pipelines that catch issues before they reach production.

In this blog, I’ll walk you through the essential steps and guidance for parsing network protocols. We’ll assume that you’re already running a Layer 4 (L4) proxy to capture packets into a buffer, and you have both the client and destination connection objects readily available. This guide will focus on helping you convert raw network data into meaningful, structured information.

In quality engineering, axioms are foundational truths drawn from years of practice that underpin effective, scalable automation systems.