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

Creating CRUD transactions using SQLAlchemy

SQLAlchemy is the most popular ORM library and can establish communication between any Python-based application and database platform. It is reliable because it is continuously updated and tested to be efficient, high-performing, and accurate with its SQL reads and writes.

This ORM is a boilerplated interface that aims to create a database-agnostic data layer that can connect to any database engine. But compared to other ORMs, SQLAlchemy is DBA-friendly because it can generate optimized native SQL statements. When it comes to formulating its queries, it only requires Python functions and expressions to pursue the CRUD operations.

Before we start using SQLAlchemy, check whether you have the module installed in your system by using the following command:

pip list 

If SQLAlchemy is not in the list, install it using the pip command:

pip install SQLAlchemy

Currently, the version being used while developing the fitness club management...