GraphQL at Scale
summary
Discussion of how large companies (GitHub, Netflix, Shopify, Airbnb, PayPal, Facebook) implement GraphQL at scale, covering technical and organizational challenges specific to GraphQL. Describes emerging best practices for scaling GraphQL and the tools available to implement those practices.
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chapters (18)
- 0:00Introduction to GraphQL
- 7:03GraphQL principles and federated architecture
- 13:43Federation and federated schema
- 17:57Schema tracing in registry
- 22:12Abstract vs specific schema
- 26:49Handling breaking changes
- 27:10Performance optimization
- 31:00N+1 query problem
- 33:04Fetching necessary data
- 34:07Automatic persisted queries
- 36:14GraphQL metadata for devs
- 37:41Access control and authorization
- 41:51Query control and rate limiting
- 46:46Query complexity limits
- 49:56Structured logs and monitoring
- 53:26Tracing and observability
- 55:09GraphQL layer separation
- 55:30Key takeaways for scaling
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