Combining developer-centric deployment tools and best-of-breed serverless offerings has many advantages. Let's count them.

Understanding data modeling in FaunaDB and how developers can create their own data modeling paradigms to suit the requirements of each project.

How to create a Jamstack e-commerce platform using Apicart, FaunaDB, Gridsome, and Netlify.

This tutorial focuses on the operations you need to use FaunaDB to power a comment system for a Gatsby blog.

Globally replicated databases are the final frontiers to create a stack that is serverless and delivers, computes, and stores data at the edge.

Building a real-world app with highly dynamic data in a serverless fashion using React hooks, FaunaDB, and Cloudinary.

By combining distributed databases with static site generators and CDNs, JAMstacks become dynamic again without loss of performance.

There are very few scenarios in which an eventually consistent database is preferable over a strongly consistent database. So what motivates engineers to ignore strongly consistent distributed databases?

An explanation of how the lack of strong consistency makes it harder to deliver a good end-user experience can bring serious engineering overhead, and open you up to exploits.

Sometimes the CAP theorem is misinterpreted - databases can be available, while having consistency and performance, as long as there are no network partitions.