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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

Building the Microservice Application

Previously, we spent a lot of time building API services for various applications using the core features of FastAPI. We also started applying important design patterns such as Inversion of Control (IoC) and Dependency Injection (DI), which are essential for managing FastAPI container objects. External Python packages were installed and used to provide options on what containers to use in managing objects.

These design patterns can help not only with managed objects in container but also when building scalable, enterprise-grade, and unconventionally complex applications. Most of these design patterns help break down monolithic architecture into loosely coupled components that are known as microservices.

In this chapter, we will explore some architectural design patterns and principles that can provide strategies and ways to initiate the building of our microservices from a monolithic application. Our focus will be on breaking the huge application...

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