GraphQL Meshes
summary
Argues for treating APIs as artifacts and using GraphQL during development but generating small REST micro‑gateways in production, with codegen that creates compile-time query endpoints and an npm‑like schema package manager for composing schemas. Describes adapters for REST, federation and stitching, plans for SOAP/gRPC/OData, and using http2 streams for subscriptions. Claims early benchmarks show 37–150x throughput improvement and p99 latency dropping from ~1s to milliseconds. Releases WunderGraph Hopper as an OSS GraphQL editor.
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chapters (21)
- 0:00Start
- 2:14Challenges of digital Transformation
- 4:17Handling APIs at scale
- 6:32GraphQL as a common language
- 9:30Rethinking the "One Graph" Principle
- 12:583. Single Source of truth & Inconsistencies of the schema
- 15:29Versioning & Backwards Compatibility
- 18:50Maintaining Legacy
- 20:39Custom Middleware
- 22:51Scaling, Performance, Caching
- 24:38Comparing GraphQL & REST
- 31:05The evolution of GraphQL Clients
- 33:33GraphQL in development, REST in production
- 35:24Filling the Gaps
- 36:26Compiled GraphQL Operations
- 38:03An In-depth look into GraphQL execution
- 38:41Compiled Query Performance
- 39:36Putting it all together
- 40:44ROI
- 41:292021 - What's ahead of us?
- 42:27WunderGraph Hopper
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