How does R manage high-throughput API scaling bottlenecks in production?

R API scaling is achieved via horizontal scaling, async processing, and offloading heavy computation.

R is single-threaded per process, so high throughput requires multiple instances behind load balancers. Bottlenecks are mitigated using async frameworks, caching layers, and moving heavy computation to C++ or distributed systems like Spark.