Optimizing GraphQL Data Fetching For Scalable APIs
Optimize GraphQL performance with query minimization, batching, caching & subscriptions to maintain a scalable & efficient API for large apps.
With GraphQL, clients may efficiently and flexibly query APIs by only requesting the data they require. But when apps get larger, performance needs to be maintained, and this means managing and optimizing GraphQL data fetching. Inefficient resource utilization, increased server loads, and slower response times can all be caused by poorly optimized queries. We'll look at the best methods for GraphQL data fetch optimization in this post, so your API may continue to be quick and scalable while still giving your customers the information they require. 1. Avoid Over-fetching with Query Minimization...