Systems | Development | Analytics | API | Testing

How to Identify and Troubleshoot Issues in Your Electron App

As developers, it’s easy to get fixated on the mobile sphere. We’re now spending 4-5 hours a day browsing apps on our phone (that’s over 1,800 hours a year), which means a huge volume of demand is channelling into Android and iOS projects. But desktop apps are booming too.

Get Ready For The Cloud API War

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.

How to practice responsible AI - Scott Zoldi

This episode features an interview with Scott Zoldi. He is the Chief Analytics Officer at FICO where he is responsible for the analytic development of FICO’s product and technology solutions. Scott is involved in developing new analytic products and applications, and has authored more than 100 patents. His current focus is on self-learning analytics to detect cyber security attacks. On this episode, Scott talks about how to attract and retain world-class data scientists, the importance of following a model governance process, and responsible AI.

2023 N|Solid Awards: The Top 10 Best Node.js Open Source Projects to Watch

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.

A Simplified Guide to Cloud Data Platform Architecture

Since the 2006 launch of Amazon Web Services (AWS), the world’s first hyper-scale public cloud provider, thousands of data-driven businesses have shifted on-premise data storage and analytics workloads into the cloud by architecting or adopting a cloud data platform. As the volume, variety, and velocity of enterprise data continues to grow in 2023, cloud data platforms with legacy tech and complex architectures are becoming increasingly time-consuming and costly to manage.