Caching Strategies in a Federated GraphQL Architecture

Caching Strategies in a Federated GraphQL Architecture`: This article explores caching strategies in a federated GraphQL context, focusing on local caching, memoization, distributed caching, and batching with dataloader. The authors discuss the challenges of caching in a federated architecture and present various approaches to improve performance, including introducing a cache, using memoization, and leveraging distributed caches like Redis or NoSQL databases. By implementing these strategies, developers can reduce strain on backend services, improve response times, and enhance overall system efficiency.