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  • Book Overview & Buying Building Python Microservices with FastAPI
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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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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

Using GraphQL queries and mutations

GraphQL is an API standard that implements REST and CRUD transactions at the same time. It is a high-performing platform that’s used in building REST API endpoints that only need a few steps to set up. Its objective is to create endpoints for data manipulation and query transactions.

Setting up the GraphQL platform

Python extensions such as Strawberry, Ariadne, Tartiflette, and Graphene support GraphQL-FastAPI integration. This chapter introduces the use of the new Ariadne 3.x to build CRUD transactions for this ch10-mongo project with MongoDB as the repository.

First, we need to install the latest graphene extension using the pip command:

pip install graphene

Among the GraphQL libraries, Graphene is the easiest to set up, with fewer decorators and methods to override. It easily integrates with the FastAPI framework without requiring additional middleware and too much auto-wiring.

Creating the record insertion, update, and...

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