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This conference talk by Ajinkya Shinde addresses the performance challenges of GraphQL APIs and provides practical caching solutions. Learn how GraphQL's flexibility can lead to performance bottlenecks through excessive database queries and API calls, and discover effective optimization techniques including entity-level caching, response caching, Redis implementation, and DataLoader utility integration. Explore strategies for eliminating the N+1 query problem, reducing network calls, and ensuring scalability for complex, data-intensive applications. The 20-minute presentation offers a blueprint for implementing these caching techniques with practical examples, helping developers enhance performance, improve load times, and build more efficient GraphQL APIs that can scale effectively in production environments. Access the slides and additional resources through the provided link to the DevConf.IN 2025 presentation.
