Systems | Development | Analytics | API | Testing

At NodeSource, we live and breathe Node.js and are passionate about performance and security. We understand that for developers and platform teams, managing the security and compliance of dependencies is a mission-critical task. However, the tools designed to help can sometimes become part of the problem. Today, we’re proud to introduce NodeSource Certified Modules v3 (NCM v3): a complete rearchitecture of our module scanning and observability engine.

If you have spent any time working with Elixir in a production setting — or even just building a side project — you've likely encountered a stack trace. Stack traces can appear intimidating at the outset, especially since Elixir's error messages are often more detailed than those in other languages. However, they are a powerful tool for understanding what went wrong in your code. Early in my Elixir journey, I found stack traces to be a bit overwhelming.

Playlists for every mood and occasion. Media recommendations grouped by the most niche theme from your watch history. Sophisticated ad algorithms that optimize pay-per-click ads for the customer experience. Whether you call them digital-native, disruptors, or just tech giants, the likes of Spotify, Netflix, and Amazon have long made uncannily personal experiences a key part of their differentiation or business models.

A DevOps roadmap is a strategic blueprint of the steps an organization takes to adopt DevOps practices. An ideal roadmap should align with the organization's goals and objectives and establish a clear timeframe for implementation. When creating this visual representation, the key aspects to consider are evaluating the existing status, choosing the right tools, monitoring, and optimizing the process.

Software development isn’t what it used to be, and that’s a good thing. What was once a linear code-and-release process has evolved into a dynamic, AI‑powered, security-first ecosystem spanning cloud, edge, and compliance workflows. In 2024, the global software development market reached $403.6 billion and is expected to climb further, driven by AI, cloud-native architectures, and embedded automation.

As LLMs become central to AI-driven products like copilots and customer support chatbots, data science teams need to ensure the LLM performs well for the use case. The process of LLM evaluation ensures reliability, safety and performance in production AI systems. In this guide, we explore how to approach evaluations across development and production lifecycles, what frameworks to use, and how the integration between open-source MLRun and Evidently AI enables more scalable, structured testing.

You’ve translated the app and maybe even hired native speakers. It passes all your internal checks, but users in new markets are still dropping. The problem often isn’t obvious. Putu Kusumawardhani , Director, Client Impact,

APIs are the backbone of modern systems, but when they fail, the impact can be catastrophic. Fault injection testing helps you prepare for these failures by simulating disruptions in a controlled way. This practice ensures APIs remain reliable and can recover gracefully under stress. Here's what you need to know.

In the field of agile development, software testing can be a difficult task. Much of the exhaustive testing is conducted manually, which can slow release schedules, as well as make errors more likely. Selenium is a great fit here. Selenium is an open-source tool that allows you to automate web browsers, which, one could argue, serves to speed up testing by allowing test cases to run quickly.

The concept of integral test on convergence may very well be one of the most valuable tests when it comes to calculus, of whether an infinite series is convergent or divergent. Integral test relates series to an improper integral and is systematic with regard to finding convergence of series, especially when dealing with nice functions.