Journal of Advances in Developmental Research

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Building Reactive GraphQL Services with Spring WebFlux and Netflix DGS

Author(s) Saurabh Atri
Country United States
Abstract This journal describes how to build and operate a GraphQL server using Spring WebFlux and the Netflix Domain Graph Service (DGS) framework. Spring WebFlux provides a non-blocking web runtime based on Reactive Streams and is optimized for high-concurrency, I/O-bound workloads [1][2]. Netflix DGS provides a schema-first, annotation-driven programming model on Spring Boot, and integrates internally with Spring for GraphQL to reuse its transport and execution capabilities [3][4]. The focus is practical: correct reactive boundaries (avoiding event-loop blocking), resolver batching with DataLoader, subscriptions over SSE/WebSocket, testing strategy, and operational concerns such as version compatibility and observability.
Keywords Spring WebFlux, Project Reactor, GraphQL, Netflix DGS, Spring for GraphQL, reactive systems.
Field Engineering
Published In Volume 17, Issue 1, January-June 2026
Published On 2026-01-03
Cite This Building Reactive GraphQL Services with Spring WebFlux and Netflix DGS - Saurabh Atri - IJAIDR Volume 17, Issue 1, January-June 2026. DOI 10.71097/IJAIDR.v17.i1.1682
DOI https://doi.org/10.71097/IJAIDR.v17.i1.1682
Short DOI https://doi.org/hbm79q
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