Systems | Development | Analytics | API | Testing

The inclusion of a stable test runner in Node.js(version 18+) has generated significant debate in the community, given the abundance of established third-party testing frameworks. While its arrival naturally sparks comparisons to existing tools, this article won't focus on justifying its place in the ecosystem. Instead, we'll embark on a hands-on exploration of the test runner's core capabilities, from writing and executing tests to organization and customization features.

Technology is booming now more than ever, and every day brings new products and functionality for every unimaginable task. It is not just about mobile apps and computers anymore; instead, it is all about embedded systems and Internet-of-Things (IoT) devices that have quickly become so commonplace, both in our day-to-day lives and in industries like industrial automation.

An API endpoint, often referred to as an endpoint URL, is a specific URL that allows access to a particular resource on a server, facilitating communication between different systems. It’s crucial for developers as it enables them to integrate and utilize functionalities from other systems, like payment gateways or social media platforms, streamlining their development process.

Digitalization is revolutionizing every aspect of our lives, and understanding the concepts of open source and open standards is crucial. But these aren't just geeky tech concepts, they represent a whole philosophy of collaboration and sharing that's fueling innovation. And open standards? Think of them as the great enablers of interconnectivity. These guidelines ensure different technologies can talk to each other and share data seamlessly across platforms.

Let’s start with a statement everyone can agree on: AI coding is now a permanent fixture of the software development lifecycle. Even if your team hasn’t introduced it officially yet, it’s only a matter of time before one of your peers kicks off the discussion or pushes a PR that, perhaps even unbeknownst to you, is entirely AI-generated. Now, let’s rub some folks the wrong way: AI coding in a microservices architecture is a recipe for disaster.

Hey there! Have you ever wondered why API monitoring is important for businesses and why your digital services sometimes go haywire? Or why do some users complain about slow performance? The answer often lies in the health of your APIs. In today’s digital world, APIs are the backbone of seamless user experiences and robust business operations. This guide will show you how a top-notch API monitoring strategy can transform your business.

We are thrilled to announce that G2, the world's largest and most trusted tech marketplace, has once again recognized Katalon as a leader across SMB, Mid-market, and Enterprise segments of the software testing solution market. The badges we received show our commitment to excellence. Katalon’s diverse range of products empowers teams of all sizes to efficiently deliver software that excels in quality to their users.

Exploratory testing is highly effective in uncovering hidden issues, but many teams need help when used to manual testing. Teams, products, and users constantly evolve, meaning risks impacting quality are not static or entirely predictable. This dynamic environment requires a flexible approach to identify and address potential issues. This blog post explains how to enhance your overall testing strategy by blending exploratory testing with your team's manual testing routines.

Kafka is often chosen as a solution for realtime data streaming because it is highly scalable, fault-tolerant, and can operate with low latency even under high load. This has made it popular for companies in the fan engagement space, and where transactional data is used (e.g. betting) as low latency ensures that actions and responses happen quickly, maintaining the fluidity and immediacy of the experience.