GraphQL Federation in Microservice Landscapes
When subgraph ownership, schema governance, and gateway caching justify GraphQL at the edge.
Nestlancer Editorial
Federation lets each team own a subgraph while clients query one graph—but operational cost is real. Adopt federation when client flexibility justifies schema governance overhead.
When federation fits
- Mobile and web clients need different field sets on shared entities
- Multiple teams publish types around
User,Order,Projectwithout monolith coordination - BFF proliferation is already unmanageable
Skip federation when simple REST aggregation at the gateway covers 90% of queries.
Subgraph ownership rules
- Each subgraph maps to one team's deploy cadence
- Breaking schema changes require consumer contract tests
@keydirectives and entity resolution must be integration-tested- Version deprecation with sunset dates in the schema registry
Performance traps
| Trap | Fix |
|---|---|
| N+1 entity resolution | DataLoader per request |
| Uncached hot paths | Gateway-level persisted queries |
| Oversized introspection | Disable in production |
Gateway caching
Public fields (Product.name) cache aggressively; personalized fields (Cart.items) bypass cache. Document cache keys in subgraph README files.
GraphQL federation trades REST simplicity for client ergonomics—invest in schema review boards before production.
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