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Dive into an advanced 29-minute tutorial exploring essential performance optimizations for GraphQL APIs with Spring Boot 3.2. Master practical solutions for common performance bottlenecks, including the N+1 problem, through hands-on demonstrations and real-world examples from CodeMash 2025. Learn to implement virtual threads, optimize database queries, and integrate Zipkin for enhanced observability. Explore batch mapping techniques while following along with provided code examples from the accompanying GitHub repository. Gain insights into GraphQL query optimization best practices and leverage Spring for GraphQL's powerful features. Access comprehensive resources including Spring documentation, virtual threads implementation guides, and a curated GraphQL playlist for continued learning. Connect with the instructor through various social platforms and subscribe to receive updates about an upcoming GraphQL Masterclass.
Syllabus
- Introduction
- Understanding the N+1 Problem
- Database Query Optimization
- Virtual Threads Implementation
- Observability with Zipkin
- Batch Mapping Solution
- Performance Comparison & Wrap-up
Taught by
Dan Vega