Summary

The use of coroutines is one of the factors that makes the FastAPI microservice application fast, aside from its use of an ASGI-based server. This chapter has proven that using coroutines to implement API services will improve the performance better than utilizing more threads in the thread pool. Since the framework runs on an asyncio platform, we can utilize asyncio utilities to design various design patterns to manage the CPU-bound and I/O-bound services.

This chapter used Celery and Redis for creating and managing asynchronous background tasks for behind-the-scenes transactions such as logging, system monitoring, time-sliced computations, and batch jobs. We learned that RabbitMQ and Apache Kafka provided an integrated solution for building asynchronous and loosely coupled communication between FastAPI components, especially for the message-passing part of these interactions. Most importantly, coroutines were applied to create these asynchronous and non-blocking background...