Build a performance-optimized GraphQL API
summary
Six concrete tactics and tools: enable pagination to avoid fetching millions of products; stop overfetching by requesting only needed fields; minify queries (trim whitespace — one example saves ~42 bytes); cache stable product queries by storing a 64-bit hash of the query; eliminate N+1 database calls with client-side batching/joins using DataLoader; and add end-to-end observability with AWS X‑Ray and Datadog to find the slow resolver or slow third‑party call.
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chapters (15)
- 0:00Introduction
- 1:08GraphQL faster than REST
- 2:36Request flow and performance
- 4:22Optimizing GraphQL engine
- 5:46Quick wins for queries
- 7:11Avoiding overfetching
- 8:16Minifying queries
- 9:23Caching persistent queries
- 11:52N+1 query problems
- 14:42Monitoring GraphQL APIs
- 17:15Six optimization strategies
- 20:01Best practices sharing
- 22:10Caching strategies
- 24:19Query complexity limits
- 26:03Q&A
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