Webinar: Developing with the Modern App Stack: MEAN and MERN (with Angular2 and ReactJS)

April 26, 2017

12 PM EDT | 9 AM PDT

Users increasingly demand a far richer experience from web applications – expecting the same level of performance and interactivity they get with native desktop and mobile apps. At the same time, there's pressure on developers to deliver new applications faster and continually roll-out enhancements, while ensuring that the application is highly available and can be scaled appropriately when needed.

Fortunately, there’s a set of open source technologies using JavaScript that make all of this possible.

Join this webinar to learn about the two dominant JavaScript web app stacks – MEAN (MongoDB, Express, Angular, Node.js) and MERN (MongoDB, Express, React, Node.js).

These technologies are also used outside of the browser – delivering the best user experience, regardless of whether accessing your application from the desktop, from a mobile app, or even using your voice.

By attending the webinar, you will learn:

  • What these technologies and how they’re used in combination:
    • NodeJS
    • MongoDB
    • Express
    • Angular2
    • ReactJS
  • How to get started building your own apps using these stacks
  • Some of the decisions to make:
    • Angular vs Angular2 vs ReactJS
    • Javascript vs ES6 vs Typescript
  • What should be implemented in the front-end vs the back-end

This session will include a live Q&A for you to have your questions answered by an expert. Register for the webinar now to learn more.

Andrew Morgan: About the speaker

Andrew is part of the MongoDB product team, responsible for building the vision, positioning and content for MongoDB’s products and services, including the analysis of market trends and customer requirements.

Before joining MongoDB, Andrew was director of product management for MySQL at Oracle – with a particular focus on distributed, highly available databases. Prior to Oracle, Andrew worked in software development for telecoms with a focus on HA, in-memory, real-time databases.