How to Overcome FastAPI’s CPU‑Bound Bottlenecks: Practical Parallelism Strategies
This article explains why FastAPI struggles with CPU‑intensive tasks due to Python’s Global Interpreter Lock, describes the types of workloads affected, and provides concrete solutions such as background task queues, microservices, ProcessPoolExecutor, and C/C++ extensions to keep APIs responsive and scalable.