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Byteconf GraphQL 2020

Byteconf GraphQL 2020

January 31st, 2020

Byteconf GraphQL is a 100% free single-day conference with the best GraphQL speakers and teachers in the world. Conferences are great, but flights, hotels, and tickets are expensive, so not everyone can go. Byteconf is streamed on YouTube, for free, so anyone and everyone can attend. RSVP to get your free ticket, and we'll see you on January 31st!

Watch the full conference on YouTube


GraphQL as a scalable & performant data API for serverless
Accessing and working with data is not easy with serverless, because traditional methods of database access don’t work well. In this talk, I will discuss the key problems around working with databases when building serverless application logic and approaches to solving them. I will motivate problems…
GraphQL Without a Database
Your frontend developers are pushing to get started with GraphQL, but you don’t have the backend capacity to migrate your existing REST APIs to GraphQL? Or you want to have a GraphQL API next to your existing endpoints that are based on REST, without having to rewrite all your controllers? In this t…
The Future of Real-time | Offline | Data
Complexity, and the consistent attempts to reduce complexity, is at the core of the evolution of technology. As technology evolves, we then find harder problems to solve and are presented with new challenges. In the client space, we’ve seen innovation that has addressed how we deal with modern appli…
Power of GraphQL Query Language
GraphQL is a query language that provides an efficient, powerful and flexible approach to developing web APIs. GraphQL has gained immense popularity in the last few years with many Fortune 500 companies using them for their product development. In this talk, we will learn the core concepts of the Gr…
Fullstack Graph With GRANDstack: GraphQL, React, Apollo, and Neo4j Database
Learn why representing data as a graph is a win when building your API - both for API developers and consumers and especially if you are working with graph data in the data layer, such as with a graph database like Neo4j. In this talk we dive into backend considerations for GraphQL and show how to l…
Query Analysis - Rebooted
There are several tracing tools available publicly and privately for looking into execution time of GraphQL queries. These are super useful and key for integrators writing queries. But as API owners we also need to know how our API is being used. This is important for making deprecations, for choosi…
Continuous Mining of Github with GraphQL
A developer community for everyone
Leveraging the Power of a Typed Schema: Dynamic User Interfaces with GraphQL
Reduce development time and create consistent and dynamic front-end interfaces which are always up-to-date with your back-end GraphQL API by utilizing the introspection query to reveal an API’s schema, automatically generate queries and mutations, and, ultimately, hydrate typed React components.
Mutating Highly Dynamic Data at Shopify
GraphQL currently provides polymorphic types to model complex objects but cannot allow the mutations for interface object types. Over the course of the talk, I will be discussing the problem in detail, illustrating my personal experiences with this problem when working in Shopify’s core monolith, an…
Full-stack Mocking with Apollo and GraphQL
A common tagline for GraphQL is that it’s a query language for your API or a way of asking questions of our data. This is true, but GraphQL also provides us with a type system for our APIs. In this talk, we’ll take a closer look at how this type system in combination with Apollo Server allows us to …
What is GraphQL - the misconceptions
When you first heard of GraphQL, did you think it was a SQL type language? Did you think it was a graphing software? Did you think it was used for graph type data structures only? You are not alone! There are a lot of misconceptions about what is GraphQL and what the Graph and QL in GraphQL means. I…
Instant distributed, scalable and secure GraphQL endpoints with FaunaDB
There are several things to consider when setting up a GraphQL endpoint; choosing a suitable database, handling the n+1 problem, using a cache, security rules. GraphQL has moved the many requests problem from the HTTP layer to the database layer. Instead of many REST calls, we only need to execute o…
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