Apollo’s response caching has been rebuilt from the ground up for speed, control, and scale—and it’s easier than ever to use. In this session, you’ll see how to flip on supergraph-level caching with directives and instantly cut latency, all without touching subgraph code.

We’ll get into the good stuff: policy-driven caching, surrogate keys for precise invalidations, and patterns to keep data fresh across a federated graph. You’ll see a live demo of the cache debugger in Apollo Sandbox, complete with expanded metrics and distributed tracing so you actually know what’s going on. We’ll also show off the new invalidation engine—it’s dramatically faster, handles more complex scenarios, and is just plain nicer to work with.

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.

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.