Tanmai Gopal

Understand common GraphQL challenges, and how Relay addresses them.

GraphQL integration (and API/data fetching in general) becomes quite repetitive and complex as our app scales. New features need to be built that are sort of similar to features that already existed, but what bits they can reuse is not clear (eg: pagination). 

New members join the team and we’d like them to work on their UI components without worrying about the data fetching logic of the rest of the component tree. Relay takes an opinionated stance to solve some of these problems that are worth understanding and learning from.

In this talk, I'm going to motivate the core features in Relay from the ground-up. I'll do hands-on demos to explain the common challenges GraphQL clients run into, how one would fix them without Relay and then fix them with Relay. 

I'll also touch upon how Relay works and its design briefly and how Relay’s design goal is not just being a high-performance GraphQL client, but also increasing developer productivity and happiness.

2020 Online

React Amsterdam

Go from being skeptical about Relay to falling in love with it

In 15 minutes, you will be witness to the raw awesomeness of having the flexibility of a dynamic website backed by a database with performance and scalability of a static website.

We will build and deploy a static site that is backed by content on Postgres. We will also setup serverless automation so that whenever content changes on Postgres, we will re-render the site and deploy again with a maximum of one deploy every 5mins.

In 15 minutes, you will be witness to the raw awesomeness of having the flexibility of a dynamic website backed by a database with performance and scalability of a static website.

2018 San Francisco

JAMstack Conf

How to Setup Production

A review of how we created a GraphQL backend backed by Postgres. The key challenges faced by real-world apps and our solution approach, specifically around expressive query arguments, access control, schema iteration, sharing auth between multiple API backends. 

We will also review some quick tips to make the most out of Postgres and reveal some early performance benchmarks. We will end with a demo how you can create complex data models and make intuitive graphql queries from your app without requiring in-depth knowledge of graphql schemas.