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.
We'll first explore how we implemented our MCP server for GraphQL APIs and then use Grafbase extensions to federate non-GraphQL datasources to have them all available for agents without increasing the number of tools.
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.
We'll first explore how we implemented our MCP server for GraphQL APIs and then use Grafbase extensions to federate non-GraphQL datasources to have them all available for agents without increasing the number of tools.
Get in touch!
hi@guild.host