The Polyglot Developer

Game data rarely looks the same for very long.

There are quite a few backup applications in circulation, each with their own set of benefits.

Just about every application you build is going to need some form of user authentication, and the moment you have user accounts, you have passwords to manage.

With AI becoming increasingly popular in everything, and retrieval-augmented generation (RAG) becoming a requirement in everyone's organization, how you're providing context to the AI tools becomes important.

So you're ready to dabble with MongoDB on Linux and you've chosen Ubuntu as the variant you want to work with.

So you're looking to self-host MongoDB or start dabbling with it in a local setting?

So you want to build your own content management system (CMS), also sometimes known as a blog?

GraphQL is a powerful and efficient way to build APIs.

Almost every modern web application will need a REST API for the frontend to communicate with, and in almost every scenario, that frontend is going to expect to work with JSON data.

Do you struggle with interviews?

Are you speaking at Meetups, conferences, and other events frequently?

If you're just starting to dabble with MongoDB, you've probably come to a point where your documents are looking a little complex.

Almost every modern web application will need a REST API for a client to talk to, and in almost every scenario, that client is going to expect JSON.

I recently picked up a Beelink EQR6 Mini PC to reduce some of the Docker stress on my aging Synology NAS.

Content platforms evolve as business strategies shift.

Interested in diving into our Django MongoDB Backend integration?

Retrieval-augmented generation, or RAG, introduces some serious capabilities to your large language models (LLMs).

For many reasons—including scalability, flexibility, and modernization—more and more development teams are looking to migrate away from PostgreSQL to MongoDB.

Application and system designs have always been considered the most essential step in application development.

In this tutorial, we will dive head first into utilizing MongoDB’s Flask-PyMongo library!

With the release of MongoDB 7.0 in August 2023, we introduced a feature called Queryable Encryption, the first of its kind.

In this tutorial, we'll build a real-time fraud detection system using MongoDB Atlas Vector Search, Apache Kafka, and AI-generated embeddings.

DjangoCon Europe is just around the corner, and this year, it’s in Dublin, Ireland.

As seen in a previous tutorial, creating a serverless function for AWS Lambda with Java and MongoDB isn't too complicated of a task.

So you need to build an application that will scale with demand and a database to scale with it?

So the data within your organization spans across multiple databases, database platforms, and even storage types, but you need to bring it together and make sense of the data that's dispersed.

Need a consistent development and deployment experience as developers work across teams and use different machines for their daily tasks?

So you need to build an application with minimal operating costs that can also scale to meet the growing demand of your business.

If you're a Go developer and you're looking to go serverless, AWS Lambda is a solid choice that will get you up and running in no time.

Have you ever needed to handle signal events within your ZX script?

So you're building serverless applications with Microsoft Azure Functions, but you need to persist data to a database.

So you want to build a REST API, but you don't want to worry about the management burden when it comes to scaling it to meet the demand of your users.

If you're a developer, worrying about your database is not necessarily something you want to do.

About a year ago I created a game with MongoDB and Unity and wrote about it in a previous tutorial.

When it comes to C#, it's not too difficult or time-consuming to create or consume RESTful APIs.

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.

Ever since studying and working with databases 6 months ago, I've become fascinated with SQL and its relatively simple syntax.

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.

I'm a huge fan of static generated websites!

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.

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.

If you play a lot of games, you probably noticed at some point in time that the version number or build number of the game is often presented clearly on the screen.

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.

A few months ago you might remember a tutorial I put out regarding remote caching in Eleventy.

I recently got into streaming video games on a consistent basis and needed a better call to action (CTA) to encourage subscribers.

When you're developing a game, whether it be 2D or 3D, you're going to need to add menus with buttons at some point.

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.

So you want to add your YouTube videos to your static generated website, but you don't want to manually keep track of all your videos and playlists?

Remember all the cheat codes you could use in old-school games back in the day?

When developing a game, in most circumstances you're going to need to store some kind of data.