While REST APIs are amongst the most popular when it comes to client consumption, they are not the only way to consume data and they aren’t always the best way. For example, having to deal with many endpoints or endpoints that return massive amounts of data that you don’t need are common. This is where GraphQL comes in.
With GraphQL you can query your API in the same sense that you would query a database. You write a query, define the data you want returned, and you get what you requested. Nothing more, nothing less. I actually had the opportunity to interview the co-creator of GraphQL on my podcast in an episode titled, GraphQL for API Development, and in that episode we discuss GraphQL at a high level.
You might remember that I wrote a tutorial titled, Getting Started with GraphQL Development Using Node.js which focused on mock data and no database. This time around we’re going to take a look at including MongoDB as our NoSQL data layer.Read More
If you’ve been following along, you’re probably familiar with my love of Node.js and the Go programming language. Over the past few weeks I’ve been writing a lot about API development with MongoDB and Node.js, but did you know that MongoDB also has an official SDK for Golang? As of now the SDK is in beta, but at least it exists and is progressing.
The good news is that it isn’t difficult to develop with the Go SDK for MongoDB and you can accomplish quite a bit with it.
In this tutorial we’re going to take a look at building a simple REST API that leverages the Go SDK for creating data and querying in a MongoDB NoSQL database.Read More
To continue on my trend of MongoDB with Node.js material, I thought it would be a good idea to use one of my favorite Node.js frameworks. Previously I had written about using Express.js with Mongoose, but this time I wanted to evaluate the same tasks using Hapi.js.
In this tutorial we’re going to develop a simple RESTful API using Hapi.js, Joi and Mongoose as the backend framework, and MongoDB as the NoSQL database. Rather than just using Hapi.js as a drop in framework replacement, I wanted to improve upon what we had previously seen, by simplifying functions and validating client provided data.Read More
When creating a web application that handles user information it is a good idea to protect anything considered sensitive rather than storing it as plaintext within a database. The goal is to make it as difficult as possible for a malicious person to obtain access to this sensitive information. Rather than encrypting sensitive information with the knowledge that it can one day become decrypted, it is better to hash this sensitive data instead because hashing is a one-way process.Read More
About a week or so ago I had written a tutorial titled, Getting Started with MongoDB as a Docker Container Deployment, which focused on the deployment of MongoDB. In that tutorial we saw how to interact with the MongoDB instance using the shell client, but what if we wanted to actually develop a web application with MongoDB as our NoSQL database?
In this tutorial we’re going to see how to develop a REST API with create, retrieve, update, and delete (CRUD) endpoints using Node.js and the very popular Mongoose object document modeler (ODM) to interact with MongoDB.Read More
MongoDB is one of the most popular NoSQL databases on the market right now and is used heavily with Node.js development in particular. So what if you wanted to give MongoDB a spin and see what it’s all about?
There are plenty of deployment options when it comes to using MongoDB. For example, I had recently written a tutorial titled, Developing a RESTful API with Node.js and MongoDB Atlas which focused on the MongoDB cloud solution called Atlas. However, you can also install MongoDB on premise using multiple options.
In this tutorial we’re going to focus on using Docker to deploy MongoDB as a container and interact with it with the shell client.Read More
Most modern web applications need to be able to handle data consumption requests and data manipulation requests from clients using HTTP. It is the norm to pass JSON data between these requests so it makes sense to use a NoSQL document database because JSON and similar is the common storage format, eliminating the need to marshal data to new formats in every request.
Lucky for us, leveraging these concepts and technologies is not a difficult task.Read More