Hey everyone! Azure costs are going through the roof right now, so I will be slowly migrating the entire site to WordPress.com over the next few days.

Expect some missing information and/or broken posts. More than happy to receive feedback on anything that is broken!

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Image search abstraction layer

Create an Image Search Abstraction Layer with Node.js

Today, we are going to be building an image search abstraction layer that is built on top of the Bing search API. For this purpose, we’ll make use of Node.js + Express and Mongoose as an object manager for MongoDB. Additionally, we’ll harness the power of ECMAScript 6 using Babel.

If you are not familiar with Mongoose, take a look at this recent post. If you want to know more about ECMAScript 6 usage in Node.js with Babel, give this other article a read first.

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Create a URL Shortener with Node.js and MongoDB

URL shorteners are very useful. Remembering long and tedious URL addresses, or sharing 100 character URLs with your peers is not what we would call, convenient. That’s why we have services such as the Google URL Shortener, Bitly or TinyURL.

We are going to replicate the functionality that these pages offer to some extent. We’ll start off by creating an API using Node.js and the Express framework, and will integrate with a MongoDB instance to store information making use of Mongoose.

The functionality is quite straightforward, we must implement two endpoints in our application:

  • /new/URL_TO_SHORTEN: Creates a new short URL for the provided long URL.
  • /SHORT_URL: Will redirect to the long version of the provided short URL.

Instead of babbling around, let’s set up the project and install all of our dependencies.