Search results for "node"

TensorFlow is more than just a machine intelligence framework. It is packed with features and tools that make developing and debugging machine learning systems easier than ever.

In this article, Toptal Freelance Software Engineer Dino Causevic gives us an overview of TensorFlow and some auxiliary libraries to debug, visualize, and tweak the models created with it.

Today, writing applications in languages that compile to JavaScript is a very common practice. Scala developers, for example, can use Scala.js and have the same language for both the server and the client. That said, Scala’s compiler and standard dependency management tools are too limiting in the modern JavaScript world.

In this article, Toptal Freelance Software Engineer Michele Sciabarra shows us how to integrate Scala.js with the plethora of JavaScript modules available on NPM, using tools like Browserify, and explains how to do this without even having to install Node.js.

NGINX, a sophisticated web server, offers high performance load balancing features, among many other capabilities. Like most other web server software for Unix-based systems, NGINX can be configured easily by writing simple text files. However, there is something interesting about tools that configure other tools, and it may be even easier to configure an NGINX load balancer if there was a tool for it.

In this article, Toptal engineer Mahmud Ridwan demonstrates how easy it is to build a simple tool with a web-based GUI capable of configuring NGINX as a load balancer.

Test automation engineers continuously research the latest tools and techniques to ensure that their test automation framework stays fast, stable, and easy to use.

In this article, Toptal Freelance Java Developer Simon Stratton will take a look at some tips that you can use to update your framework for 2019 by improving your use of Selenium Grid, Java’s wait function, and Chrome DevTools.

In this article, Toptal engineer Ivan Voras provides a useful overview and comparison of multi-processing network server models, with the goal being to take some of the mystery out of writing high performance networking code. The article is intended for “system programmers”, i.e., back-end developers who will work with the low-level details of their applications, implementing network server code.

When your app’s next iteration is ready to deploy, you have two choices: either stop the entire application and deploy the new version manually every time or build an automated zero downtime CI/CD deployment pipeline once.

In this article, Toptal Freelance DevOps Engineer Gaurav Kohli demonstrates the latter using the Jenkins-powered continuous deployment pipeline of a three-tier web application built in Node.js, deployed on AWS Cloud, and using Terraform as an infrastructure orchestrator.

Going from a software background, knowing nothing about electronics, to designing and building a powerful, marketable hardware device is an interesting and fascinating experience. In this article, I’ll describe the design of how this electronic masterpiece works.

Mobile applications are creeping in. Developing for each mobile platform can be an exhaustive task, especially if resources are limited. This is where Apache Cordova comes in handy by providing a way to develop mobile applications using standard web technologies - HTML5, CSS3 and JavaScript. This article explores how one can get started with Apache Cordova and build mobile applications targeted at a wide range of mobile devices.

Developers often automate certain repetitive and tedious tasks to save time as well as to stay focused on the task at hand.

This article demonstrates how simple and easy it is to use Gulp as a build tool.

Designing systems integration architecture can be a difficult task. And it gets worse if you’re designing for software at scale. An enterprise service bus can be one way of working around the challenges. But this is definitely not the simplest of solutions.

In this article, Toptal Freelance Software Engineer Anton Goncharov gives us a detailed overview of the challenges of systems integration and a guide to addressing those challenges with Apache Camel.

With the rise of big data and data science, storage and retrieval have become a critical pipeline component for data use and analysis. Recently, new data storage technologies have emerged. But the question is: Which one should you choose? Which one is best suited for data engineering?

In this article, Toptal Data Scientist Ken Hu compares three prominent storage technologies within the context of data engineering.