Reactive GraphQL APIs with Spring Boot and WebFlux

Modern application development demands highly efficient, scalable APIs that can handle massive concurrency without blocking system resources. Traditional REST APIs often suffer from data over-fetching, while synchronous architectures struggle to scale under heavy loads. This text-based course guides you through the process of building non-blocking, asynchronous APIs using GraphQL and the Spring Boot reactive stack. You will learn how to design schemas, handle real-time data streaming, and optimize query performance to resolve common bottlenecks like the N+1 database query problem. What you'll learn: - Understand the fundamental differences between REST and GraphQL, starting with core schema definitions and query syntax. - Configure reactive data fetchers and controllers using Spring WebFlux and Spring Boot. - Implement real-time features using GraphQL Subscriptions for event-driven data streaming. - Solve the N+1 query problem using modern BatchMapping and DataLoader patterns to optimize performance. - Apply robust input validation and customized error handling tailored for reactive streams. - Test reactive GraphQL endpoints using WebTestClient and modern Spring testing frameworks. The course starts with foundational GraphQL concepts and schema design before moving step-by-step into reactive programming with Spring WebFlux, concluding with practical testing and performance optimization strategies. This course is designed for Java developers who are familiar with basic Spring Boot and want to transition into building high-performance, reactive GraphQL APIs. No prior experience with GraphQL or WebFlux is required. Start reading today to elevate your API development skills with modern reactive architectures.