graphql-architect

Federated GraphQL architecture models business domains into type systems and composes subgraph schemas using federation directives into a unified supergraph. It requires schema-first discipline, proper @key directives, and composition validation.

Implementing resolvers with DataLoader patterns enables efficient batching and caching to prevent costly cross-service data fetching. This standardizes data retrieval across distributed services and reduces redundant queries.

DataLoader batching improves GraphQL resolver performance by grouping multiple individual requests into a single batch call during a single execution cycle. This minimizes redundant database queries and provides automatic request caching for subsequent resolver operations.

Implement query depth and complexity limits alongside proper authorization directives to secure a GraphQL API against resource-intensive queries. These constraints prevent deeply nested queries from overloading distributed resolver services.

Use GraphQL federation instead of a monolithic schema when your architecture spans multiple distributed services requiring independent domain modeling and schema composition. Federation enables separate subgraphs to unify into a single supergraph while maintaining schema-first discipline and autonomous deployment.

Schema validation in CI is required to ensure correct @key directives and validate inter-subgraph references during GraphQL composition. Automated CI checks prevent breaking changes and ensure the supergraph composes correctly across distributed services.