About this Webinar:
As your GraphQL layer grows, so does the pressure on your infrastructure. You're handling more queries, larger payloads, and increasingly complex data dependencies. Adding more servers only buys time, not efficiency.
Response Caching in Apollo GraphOS Router solves this differently. Instead of caching at the HTTP level, it understands GraphQL. The router caches responses at the entity and field level in Redis, which means it can reuse data across different queries and users, even when those queries look nothing alike on the surface.
It handles the problems that make GraphQL caching tricky: mixed TTLs across different data types, overlapping queries that share fragments, and responses that blend public and personalized content. You stay in control of freshness and visibility the entire time.
Response Caching is live in GraphOS Router now. Join us to see it work end-to-end, walk through a live demo, and ask Apollo engineers your production questions.
What You'll Learn:
The core GraphQL caching problem and why standard HTTP caching falls short
Live walkthrough of Response Caching in action
How to configure and tune caching for your production graph
Patterns and trade-offs from teams already running this
Meet your speakers
