Join Alexis, Principal Engineer at Moonpig, as he explains how they built a scalable Federated GraphQL backend using AWS serverless (Lambda, SNS, SQS, DynamoDB) and a federated architecture. Discover how their event-driven approach and custom caching strategies keep their system fast and adaptable for diverse client needs, along with a sneak peek at future performance improvements.

The GraphQL community has come together to standardize how people can build distributed systems with GraphQL as an orchestrator. In this talk I will explain the general idea that we have for GraphQL as an Orchestrator in this space and how the new specification is tackling this. We will look at the progress we have made since last GraphQL Conf in the GraphQL composite schema working group and also get some sneak peaks at our early RFCs and prototypes. I will outline how this new specification is taking the best ideas of existing solutions in the market to make the next big leap towards mainstream adoption. This will allow anyone to build tooling by implementing the spec or parts of the spec that seamlessly integrate with other vendors.

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.

In this talk, we're unpacking GraphQL Fusion, a new approach that makes building distributed GraphQL APIs easier. We'll explore how this approach lets your teams work independently by owning different parts of the company's graph and cover how you can reshape subgraphs to follow your company's rules. Come learn about this powerful tool that brings efficiency and customization to your GraphQL operations.