Part of the team that introduced a GraphQL layer over the company's existing Node.js backend - consolidating multiple REST endpoints into a typed schema with resolver-level caching.
REST endpoints are proliferating. Clients are over-fetching constantly.
Part of the team that introduced a GraphQL layer over the company's existing Node.js backend - consolidating multiple REST endpoints into a typed schema with resolver-level caching.
Identified the client views that were over-fetching from multiple REST endpoints.
Introduced a GraphQL layer that let clients request only the fields needed for each screen.
Used resolver-level caching patterns and DataLoader to control repeated database access.
Node.js for the backend service layer.
GraphQL for typed client-driven queries.
MongoDB for the existing data store.
DataLoader to reduce N+1 query pressure.
Reduced unnecessary payload size for client applications.
Consolidated scattered REST calls into a typed schema.
Improved backend performance characteristics around repeated resolver access.