Book Image

Building Python Microservices with FastAPI

By : Sherwin John C. Tragura
3 (2)
Book Image

Building Python Microservices with FastAPI

3 (2)
By: Sherwin John C. Tragura

Overview of this book

FastAPI is an Asynchronous Server Gateway Interface (ASGI)-based framework that can help build modern, manageable, and fast microservices. Because of its asynchronous core platform, this ASGI-based framework provides the best option when it comes to performance, reliability, and scalability over the WSGI-based Django and Flask. When working with Python, Flask, and Django microservices, you’ll be able to put your knowledge to work with this practical guide to building seamlessly manageable and fast microservices. You’ll begin by understanding the background of FastAPI and learning how to install, configure, and use FastAPI to decompose business units. You’ll explore a unique and asynchronous REST API framework that can provide a better option when it comes to building microservices. After that, this book will guide you on how to apply and translate microservices design patterns in building various microservices applications and RESTful APIs using the FastAPI framework. By the end of this microservices book, you’ll be able to understand, build, deploy, test, and experiment with microservices and their components using the FastAPI framework.
Table of Contents (17 chapters)
1
Part 1: Application-Related Architectural Concepts for FastAPI microservice development
6
Part 2: Data-Centric and Communication-Focused Microservices Concerns and Issues
11
Part 3: Infrastructure-Related Issues, Numerical and Symbolic Computations, and Testing Microservices

Understanding Celery tasks

Celery is a non-blocking task queue that runs on a distributed system. It can manage asynchronous background processes that are huge and heavy with CPU workloads. It is a third-party tool, so we need to install it first through pip:

pip install celery

It schedules and runs tasks concurrently on a single server or distributed environment. But it requires a message transport to send and receive messages, such as Redis, an in-memory database that can be used as a message broker for messages in strings, dictionaries, lists, sets, bitmaps, and stream types. Also, we can install Redis on Linux, macOS, and Windows. Now, after the installation, run its redis-server.exe command to start the server. In Windows, the Redis service is set to run by default after installation, which causes a TCP bind listener error. So, we need to stop it before running the startup command. Figure 8.1 shows Windows Task Manager with the Redis service giving a Stopped status:

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