At Evojam we always seize opportunities for R&D. So when a former client asked us for cooperation on an existing project, which involved a 1 billion member social network, we jumped at the opportunity. We joined the team and did our best to fix bugs and solve data consistency, performance and reliability issues. Additionally, we presented a more effective approach to the application’s architecture. This article briefly covers our journey through the 1 billion member social network.
We've been using Play Framework with Elasticsearch and elastic4s for a while. Getting it all to work together requires some boilerplate code, though. We decided to create a small library that would make things easier in future projects. We learned some lessons about building Scala libraries along the way.
Here at Evojam we're heavy users of Scala, MongoDB, and the Play Framework. So naturally, when MongoDB introduced the 3.0 Java Driver we were quite excited to see that it featured an aysnchronous core. Unfortunately after some research it seemed that the Scala community didn't share our enthusiasm.
