Two-Factor Authentication With TOTP Using Node.js And Speakeasy

Almost two years ago I had written a tutorial around 2FA in a Node.js API with time-based one-time passwords. If you’re unfamiliar, two-factor authentication is becoming the norm, which it wasn’t necessarily back in 2017. If you’re managing user accounts in your web applications, it is critical that you offer your users a second factor of authentication to prevent phishing and malicious login attempts.

While the previous tutorial is still valid, it uses a less popular library to accomplish the task. This time around we’re going to explore using a more popular library called Speakeasy to manage two-factor authentication (2FA) within our Node.js with Express.js application.

TPDP Episode #25: Securing Applications With A Second Factor Of Authentication

I am pleased to announce that the latest episode of The Polyglot Developer Podcast is now available on pretty much every popular podcast network. This episode, which is episode 25 of the show, is all about two-factor authentication (2FA) and the things you should be familiar with when it comes to implementing it in your web applications.

In this episode titled, Securing Applications with a Second Factor of Authentication, I’m joined by Luke Walker who is a Solutions Architect at Yubico. In case you’re unfamiliar, Yubico creates the very popular YubiKey which is often featured on technology news outlets as being an incredible hardware token for protecting users from malicious circumstances.

When it comes to 2FA, there are many approaches. These approaches can consist of SMS, push notifications, time-based one-time passwords, U2F, or even the new FIDO2. If you’re interested in learning about each, this episode of the podcast should give you some insight before you try to implement them.

Fix GLIBCXX Errors From Serverless Framework And AWS Lambda

While I haven’t done too much with Serverless Framework and Functions as a Service (Faas) recently, I did in the past and it isn’t something that I’ve forgotten. In the past I demonstrated how to deploy Node.js functions to Amazon Web Services (AWS) Lambda that contain native dependencies. While not a necessity for all Lambda functions, it is for functions that use libraries for specific operating systems and architectures. For example, my previous article titled, Use AWS Lambda and API Gateway with Node.js and Couchbase NoSQL, fell into this situation. Making use of an EC2 instance or a Docker container with Amazon Linux will help most of the time, but there are scenarios where a little bit extra must be done to accomplish the task.

In certain circumstances everything may package and deploy correctly, but still throw errors. For example, a common error is around libstdc++ and a version of GLIBCXX not being found.

In this tutorial we’re going to see how to resolve library errors that might not be caught in a typical packaging and deployment scenario with Serverless Framework and AWS Lambda.

Developing A GraphQL API With Node.js And MongoDB

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.

Developing A RESTful API With Golang And A MongoDB NoSQL Database

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.

Using Hapi.js, Mongoose, And MongoDB To Build A REST API

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.

Don't Be Afraid Of Grep

One of the most powerful commands that you could learn, grep is essentially a robust search tool. It gets its name from the acronym it stands for which is global regular expression print. This is just a fancy way of saying “to search for specific strings or patterns (using regular expressions) within a specific file or directory and print the matching results”.