Systems | Development | Analytics | API | Testing

Katalon Studio 10.4 introduces a new wave of AI-powered and enterprise-ready capabilities that streamline test creation, maintenance, and analysis. This release focuses on avoiding context switching, simplifying upgrades, and enhancing test intelligence, all designed to make testing faster, smarter, and more reliable.

Did you know that almost 80% of failures in performance testing are related to missing basic pre-validation steps before performance testing is done? In the race to meet release dates, many development teams jump into performance testing without knowing that the system is ready for performance testing. The consequences of performance test preparation include inaccurate metrics, wasted infrastructure costs, and inaccurate conclusions relayed around an application’s ability to scale.

AI adoption is accelerating across every industry, from customer service and marketing to finance and retail, and we’re still far from its peak. Many organizations have already begun integrating AI agents into their business operations. A key aspect of this transformation is the use of AI agents, whether purpose-built or off-the-shelf, to assist with or even replace tasks traditionally handled by humans.

If you manage SAP data, you recognize this pattern: Business users need to update records daily (pricing changes, purchase orders, customer information), but they lack SAP expertise. And IT teams are overwhelmed with data entry requests. If you stick with manual processes, you face errors and delays. You need an SAP automation tool that meets you where you are without a huge learning curve.

We are noticing that some of our requests are starting to get slow and server load increases. Checking the process list of our server, for example with htop reveals that our FPM workers are taking up all of our CPU time. Checking the health with our basic toolset of lsof to show open network connections and strace to show syscalls does not reveal any activity. This means that the workers are spending time processing data without any externally visible activity.

During London Tech Week, our CEO, Mike Capone, joined CNBC to talk about the UK’s position in the global AI landscape, and why this is a moment the country should not waste. His message was simple. The UK already has many of the ingredients for leadership in AI. The question now is how fast it can move from innovation to scale.