A typical IT task is moving data around and making it available for consumption. Many different approaches can be used to facilitate the movement of data. This post will take a deeper look into different data transfer options and how you can automate them.

For today’s continuous development streams, automated testing is the optimal solution. You can choose from various automation testing tools and frameworks to create and run successful test cases. Although finding the ideal test automation solution is challenging. In this blog, we’ll examine how to select the right framework for your company and go in-depth on the best automation testing tools available on the market. Table Of Contents.

JavaScript is an Object Oriented Programming language. At least—it can be! Check out this article about how to use Object Oriented Programming concepts to structure your JavaScript code.

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Have you tried Googling ‘ChatGPT’ recently? It has been live for only 45 days and the volume of conversations happening about and around ChatGPT is enormous. While ChatGPT is not the topic of this blog today, its popularity has offered a solid ground to talk about the pervasiveness of AI.

NodeSource has been a part of the Node.js ecosystem since 2014, contributing to the open-source project, distributing binaries (over 100m annually!), providing expert Node Services, and building tooling (N|Solid) to support developers to make the best software leveraging Node.js. Every year, we look at the open-source projects we believe are the most interesting and will impact the ecosystem.

Accessibility testing is the process of testing whether a software application or website is accessible to people with disabilities. This includes making sure that the user interface (UI), as well as the content, are accessible. There are many different tools and methods that can be used for accessibility testing, including manual and automated testing.

Backcountry, the specialty retailer of premium outdoor gear and apparel, shares key lessons on using a modern data stack to overcome data silos, complexities with legacy systems and improve its customer experience.

About a decade ago, cloud computing became the norm in enterprise IT deployments. Infrastructure as a Service (IaaS) and Integrated Platform as a Service (iPaaS) vendors were fiercely competing to deliver the private and public cloud products that would power the next generation of app development, processing, storage, and networking. And since APIs are at the heart of cloud computing, the race was on to deliver the API that developers and sysadmins would most favor. The Cloud API War had begun.

Imagine you’re running a logistics business. Your asset tracking stops working, and the only way for customers to get in touch is via email or phone. As calls and emails pile in, your support team becomes stretched - and customers become frustrated as they have to wait to have their calls taken and emails answered. Now imagine if instead the customer who first experienced the issue could have accessed a live chat service, and easily let your customer service team know what was going on.