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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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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

Summary

This chapter is essential to familiarize ourselves with FastAPI and understand its basic components. The concept that we can get from this chapter can measure how much adjustment and effort we need to invest into translating or rewriting some existing applications to FastAPI. Knowing its basics will help us learn how to install its modules, structure the project directories, and learn the core library classes and functions needed to build a simple enterprise-grade application.

With the help of our recipe online academic discussion forum application, this chapter showed us how to build different REST APIs associated with HTTP methods using the FastAPI module class and Python def functions. From there, we learned how to capture incoming request data and headers using the local parameters of the API methods and how these API methods should return a response to the client. And through this chapter, we saw how easy it is for FastAPI to capture form data from <form></form> of any UI templates and that is using the Form function. Aside from the Form function, the FastAPI module also has the Cookie function to help us create and retrieve cookies from the browser, and Header to retrieve the request header part of an incoming request transaction.

Overall, this chapter has prepared us for advanced discussions that will center on other features of FastAPI that can help us upgrade our simple applications to full-blown ones. The next chapter will cover these essential core features, which will provide our application with the needed response encoder and generator, exception handlers, middleware, and other components related to asynchronous transactions.

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