Systems | Development | Analytics | API | Testing

In this post, we'll run through testing a Node-MongoDB app, step by step. You can test MongoDB using mongodb-memory-server, an in-memory version of MongoDB that runs independently of a persistent database. A freshly spun-up mongod process starts at roughly 7 MB of memory, providing a lightweight, self-contained environment for running tests. Let's get going!

Common Vulnerability Scoring System (CVSS) and the National Vulnerability Database (NVD database) help you to properly assess which software vulnerabilities should be your top priority. Here, we explain what is the National Vulnerability Database (NVD), what is the Common Vulnerability Scoring System, and how CVSS is used to calculate risk. Read along or jump to the section that interests you the most.

If you're still using an earlier version of Katalon Studio, you're likely missing out on major improvements that make everyday testing faster, easier, and more reliable. Studio 10.2.0 focuses on solving real-world problems, giving AI more context when writing test scripts, speeding up and clarifying test reports, and strengthening integrations and security for teams working at scale. Here are the top three reasons to upgrade today.

You’ve probably heard of the concept of ‘Frontend decides, backend delivers’ in app development. On the off-chance that you haven’t, it means that the frontend defines the data it needs, and the backend acts on this instruction. This makes the data-fetching process more efficient, simplifies the error handling process and frees us, the devs, from the need to constantly make backend changes. The GraphQL query language for APIs, developed by Facebook, is a vital tool in this regard.

Let’s take a moment to think about how far we’ve come. Remember when opening a bank account meant sitting at a branch, filling out stacks of paperwork? Or when transferring money meant writing a cheque and hoping it cleared in a few days? Now, you can do all of that and so much more, with just a few taps on your phone. So, what changed? And more importantly, what’s driving this massive shift in how we bank today? The answer lies in one word: AI in Banking.

Enterprise adoption of large language models (LLMs) is surging. According to Gartner, more than 80% of enterprises will have deployed generative AI (GenAI) applications or used GenAI APIs by 2026, up from just 5% in 2023. That stark increase paints a telling picture: LLMs have evolved from a fringe technology to a cornerstone of business development and productivity. But as with any new technology, competition is fierce.

In case you missed it, we recently made a big announcement around beta GCP support for Kong’s Dedicated Cloud Gateways (DCGWs). There’s a lot of good stuff in there, but TL;DR DCGWs now support all three of the major cloud service providers (CSPs): AWS, Azure, and GCP at a 99.95% SLA with support for over 25 regions around the globe. Being the first API management vendor to support managed gateway deployments with all three CSPs has a lot of folks excited, for obvious reasons.

How can SAP customers break free from ecosystem constraints to securely integrate SAP data with the rest of their stack?

In a new Forbes Insights report, 500 C-suite tech leaders share how they’re navigating data complexity, scaling AI, and prioritizing governance — and why modern integration is now mission-critical.

When Java operations hit their time limits, they throw java.util.concurrent.TimeoutException. This checked exception appears in scenarios ranging from thread synchronization barriers that never complete to Selenium tests waiting for elements that never appear. The challenge isn't just catching these exceptions—it's designing your code to handle timing constraints intelligently.