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
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