Rust Backed Fast Dataloader

- **Ferroload** is a new high-performance data-loading library for Rust, inspired by Facebook's [Dataloader](https://github.com/graphql/dataloader) pattern (batching + caching individual data-fetch requests) but rewritten in Rust for speed and memory safety. - It is built on **Tokio** (the standard async runtime in Rust) and designed for use with **async GraphQL** servers (e.g., those built with `async-graphql` or `Juniper`), though it can work with any Rust async application that needs to batch database or API calls. - "Batching" means combining many separate data requests (e.g., fetching 100 user profiles by ID) into a single efficient query, which avoids the N+1 problem common in GraphQL and REST APIs. - The author positions it as a **Rust alternative** to the widely used JavaScript/TypeScript Dataloader, claiming better performance, lower memory overhead, and no GC pauses — appealing for latency-sensitive services. - This is relevant because Rust is increasingly used for high-performance backend services, and until now there was no mature, actively maintained batching/caching loader with the same API ergonomics as the JS original.