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Building Python Microservices with FastAPI

Building Python Microservices with FastAPI

By : Sherwin John C. Tragura
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Building Python Microservices with FastAPI

Building Python Microservices with FastAPI

4 (8)
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)
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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

Deploying and running applications using Docker

Dockerization is a process of packaging, deploying, and running applications using Docker containers. Containerizing FastAPI microservices saves installation and setup time, space, and resources. And containerized apps are replaceable, replicable, efficient, and scalable compared to the usual deployment packaging.

To pursue Dockerization, we need to install Docker Hub and/or Docker Engine for the CLI commands. But be aware of the new Docker Desktop License Agreement (https://www.docker.com/legal/docker-software-end-user-license-agreement/) regarding its new subscription model. This chapter mainly focuses on how to run CLI commands rather than the Docker Hub GUI tool. Now, let us generate the list of modules to be installed in the docker image.

Generating the requirements.txt file

Since we are using a virtual environment instance for module management, it is easy to identify what extension modules to install in the Docker image...

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