In today’s post, we’re going to demystify how the number of JavaScript dependencies grows while we’re working on a relatively simple project. Should you be worried about the number of dependencies? Keep in mind that this blog post is related to the Ride Down The JavaScript Dependency Hell blog post that was released a while back. We’ll show a “real-world” example of how a project’s dependencies can grow from zero to 13K.

Today’s release of Node.js integration supports PostgreSQL as well as all the consumers of the pg library.

You know the saying, “by developers, for developers”? Well, at Rookout, we take that quite literally. Developers are the heart and soul of Rookout. As developers ourselves, especially as ones who have had our heads stuck in code for many years, we look to make fellow developers’ lives easier. There are countless tools that are available to developers. Whether they enable easier workflows, improve quality, aid in collaboration, and so on and so forth - the sky's the limit.

If you haven’t checked out the first two part of our ‘Diagnostics in Node.js’ series, click here and the second part here. This is a 3-part blog series on Node.js. It is based on Colin Ihrig's talk at JSConf Colombia. Let’s begin! 🚀

With the Oil and Gas Industry facing some unprecedented times and challenges with the price of crude oil, a slowing economy, and a forecasted decrease in the global market demand, there is a greater focus on a margin-based than production-based business. To address these constant challenges, new ways of thinking must be adopted to improve operational efficiency.

Apache HBase became a top-level project with Apache 10 years ago and Cloudera began contributing to it at the same time (2010). Over this time, it has become one of the largest and most popular open-source tools in big data and one of the most popular NoSQL databases.

May 14, 2020 — Allegro AI today announced that it joined the NVIDIA DGX-Ready Software program. Organizations that want to leverage AI to improve products and services often struggle to implement an advanced infrastructure that supports the unique and challenging demands of machine learning and deep learning.