Ashwin Ramesh

This is part 2 of a two-part series on recommendations using Dgraph. Check our part 1 here. In the last post, we looked at how many applications and web apps no longer present static data, but rather generate interesting recommendations to users.

Preface In today’s world, user experience is paramount. It’s no longer about basic CRUD, just serving user data; it’s about mining the data to generate interesting predictions and suggesting actions to the user.

Ever faced the problem of having multiple ports in an application, one for each service? In this post, I’m going to brief about how to run multiple services via the same listener port.

In this post, we’ll look at how Dgraph performs on varying the number of nodes in the cluster, specs of the machine and load on the server to answer the ultimate question: Can it really scale?