Modeling, storing, and querying application data as a graph can help developers quickly get projects up and running by working with data the same way that we think about our domain: as a graph. In this talk we will explore how to apply this graph thinking technique to building GraphQL APIs using the Neo4j GraphQL Library and how we can leverage developer tools to go from idea to backend with nothing but graphs and GraphQL.

Are you running a GraphQL API in production? Have you thought about securing it? Well, you probably should!

Join Laurin on teaching about possible solutions for securing GraphQL APIs, whether you are building an internal or public graph, he will have you covered using open source solutions from the GraphQL ecosystem! After this talk you will for sure be an expert on query complexity analysis and trusted documents!

How are you doing your tests? Are you effectively covering all use cases and their unique nuances? How many times have you broken everything? 

Let's delve into the complexities of testing a federated supergraph at scale, discuss on what are the issues and limits of testing GraphQL today and options for improving testing and increase confidence.

We will have a look at common ways enterprises use GraphQL, what common software design principles are used in enterprises, and how these pattern and principles can help us improve our GraphQL APIs.