Understanding when to leverage Katalon TestCloud and Katalon Runtime Engine (KRE) is essential to optimize your test automation strategy. Each tool serves a distinct purpose, from enabling scalable cloud-based test execution to ensuring robust performance in various environments. This guide will help you navigate their unique capabilities, empowering you to make informed decisions that maximize efficiency and effectiveness in your test automation.

Java provides the essential tools and libraries to deliver exceptional results, from crafting desktop applications to developing mobile apps and complex enterprise systems. With unparalleled versatility and portability, Java is a top choice among developers and one of the most widely used programming languages globally. However, like any programming language, Java isn’t immune to errors. Specifically, runtime errors are a frequent hurdle that developers must navigate.

Organizations today face a myriad of risks that can affect their operations, reputation and bottom line. Prime among them are the existential threats to your data, including infrastructure risks and data risks. Comprehensive data governance solutions enable you to address both your infrastructure and data risk to build a resilient and secure environment that supports your operations and protects your valuable data assets.

AI has profoundly impacted the life sciences industry for the past couple of decades. In the 2000s, researchers were able to use AI to analyze the human genome, identifying genetic markers and variations that could predict an individual’s susceptibility to certain diseases. This opened the door to personalized medicine and more effective therapies for genetic disorders.

Service virtualization, which gained prominence in 2012, has significantly transformed the way software testing and development are approached. Originally designed to address limited access to dependent systems during development, service virtualization has evolved into a critical technology for enabling efficient and continuous testing. This blog explores its origins, key advancements over the past decade, ongoing challenges, and how API simulation is shaping the future of testing.

Welcome to the latest entry in Yellowfin Japan’s ‘How to?’ blog series! This series of blogs aims to provide your team with another hands-on example of adding data visualization to your Yellowfin dashboards, using our array of chart and graph types. In the previous blog, we created a Combination Chart by aggregating on the basis of Year and Month.