Developing a Web Application with Netlify Serverless Functions and MongoDB

As I mentioned in a previous tutorial, I’m a big fan of Netlify and the services they offer developers—my favorite of their services being their static website hosting and serverless functions. When combining the two, you can deploy a complex website or web application with a back end, without ever worrying about infrastructure or potentially complex API design.

So how does that work with a database like MongoDB?

If you’ve ever dabbled with serverless functions before, you might be aware that they are not always available for consumption. Many serverless functions exist for a defined amount of time and then are shut down until they are executed again. With this in mind, the connection to a database might not always be available like it would be in an application built with Express Framework, for example. You could establish a connection every time a function is called, but then you risk too many connections, which might overload your database.

So what do you do?

In this tutorial, we’re going to see how to build and deploy a simple web application using Netlify Functions and MongoDB Atlas. For this particular tutorial, we’ll be using the Node.js driver for MongoDB, but both Netlify and MongoDB support the use of other languages and drivers as well.

Using LINQ to Query MongoDB in a .NET Core Application

If you’ve been keeping up with my series of tutorials around .NET Core and MongoDB, you’ll likely remember that we explored using the Find operator to query for documents as well as an aggregation pipeline. Neither of these previously explored subjects are too difficult, but depending on what you’re trying to accomplish, they could be a little messy. Not to mention, they aren’t necessarily “the .NET way” of doing business.

This is where LINQ comes into the mix of things!

With Language Integrated Queries (LINQ), we can use an established and well known C# syntax to work with our MongoDB documents and data.

In this tutorial, we’re going to look at a few LINQ queries, some as a replacement to simple queries using the MongoDB Query API and others as a replacement to more complicated aggregation pipelines.

Add a Comments Section to an Eleventy Website with MongoDB and Netlify

I’m a huge fan of static generated websites! From a personal level, I have The Polyglot Developer, Poké Trainer Nic, and The Tracy Developer Meetup, all three of which are static generated websites built with either Hugo or Eleventy. In addition to being static generated, all three are hosted on Netlify.

I didn’t start with a static generator though. I started on WordPress, so when I made the switch to static HTML, I got a lot of benefits, but I ended up with one big loss. The comments of my site, which were once stored in a database and loaded on-demand, didn’t have a home.

Fast forward to now, we have options!

In this tutorial, we’re going to look at maintaining a static generated website on Netlify with Eleventy, but the big thing here is that we’re going to see how to have comments for each of our blog pages.

Joining Collections in MongoDB with .NET Core and an Aggregation Pipeline

If you’ve been keeping up with my .NET Core series on MongoDB, you’ll remember that we explored creating a simple console application as well as building a RESTful API with basic CRUD support. In both examples, we used basic filters when interacting with MongoDB from our applications.

But what if we need to do something a bit more complex, like join data from two different MongoDB collections?

In this tutorial, we’re going to take a look at aggregation pipelines and some of the ways that you can work with them in a .NET Core application.

Create a RESTful API with .NET Core and MongoDB

If you’ve been keeping up with my development content, you’ll remember that I recently wrote Build Your First .NET Core Application with MongoDB Atlas, which focused on building a console application that integrated with MongoDB. While there is a fit for MongoDB in console applications, many developers are going to find it more valuable in web applications.

In this tutorial, we’re going to expand upon the previous and create a RESTful API with endpoints that perform basic create, read, update, and delete (CRUD) operations against MongoDB Atlas.

Build Your First .NET Core Application with MongoDB Atlas

So you’re a .NET Core developer or you’re trying to become one and you’d like to get a database included into the mix. MongoDB is a great choice and is quite easy to get started with for your .NET Core projects.

In this tutorial, we’re going to explore simple CRUD operations in a .NET Core application, something that will make you feel comfortable in no time!

Implement Full-Text Search over a GraphQL API in MongoDB Atlas

GraphQL can be an extremely powerful and efficient way to create APIs and MongoDB Realm makes it easy by allowing you to connect your collections to GraphQL schemas without writing a single line of code. I wrote about some of the basics behind configuring MongoDB and Realm for GraphQL in an announcement tutorial a while back.

As you find yourself needing to do more advanced things with GraphQL, you’re going to need to familiarize yourself with custom resolvers. If you can’t map collection fields to a schema from within Realm and you need to write custom logic using a serverless function instead, this is where the custom resolvers come into play. Take the example of needing to use an aggregation pipeline within MongoDB. The complex logic that you add to your aggregation pipeline isn’t something you can map. The good news is that you don’t need to abandon MongoDB Realm for these scenarios, but you can leverage Realm’s custom resolvers instead.

In this tutorial we’re going to see how to create a custom resolver that implements Atlas Search for our GraphQL API using Realm Functions, enabling you to add fast, relevant full-text search to your applications.