Ashwin Ramesh

Ashwin did his undergrad in computer science at IIT Madras and likes working on distributed systems. He likes working out, hiking, swimming and everything adventurous. Loves travelling to new places and trying out new food.

Fri, Jun 30, 2017

Build a Realtime Recommendation Engine: Part 2

by 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.
Thu, Jun 29, 2017

Build a Realtime Recommendation Engine: Part 1

by Ashwin Ramesh
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.
Tue, Jun 21, 2016

Can it really scale?

by Ashwin Ramesh

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?