![]() This may be resource intensive, how can we optimize for CPU time? Of course, this implies that the server has to handle aggregating data from different sources, such as home-owned backend services, databases, or third party APIs. GraphQL servers are in charge of the integration, eliminating the need for excess data and round-trip requests for data. Whether you're on a mobile device or a browser, it provides the data requested and nothing more.Ĭlient applications no longer need to stitch together information from separate data sources. Serving applications via GraphQL is quickly becoming the easiest and most effective way to deliver data to clients. ![]() Source Code: /iwilsonq/rust-graphql-example Setting up a GraphQL server with Rust, Juniper, Diesel, and Actix learning about Rust's web frameworks and powerful macros along the way.
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