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

Building publish/subscribe messaging using Kafka

As with RabbitMQ, Apache Kafka is an asynchronous messaging tool used by applications to send and store messages between producers and consumers. However, it is faster than RabbitMQ because it uses topics with partitions where producers can append various types of messages across these minute folder-like structures. In this architecture, the consumers can consume all these messages in a parallel mode, unlike in queue-based messaging, which enables producers to send multiple messages to a queue that can only allow message consumption sequentially. Within this publish/subscribe architecture, Kafka can handle an exchange of large quantities of data per second in continuous and real-time mode.

There are three Python extensions that we can use to integrate the FastAPI services with Kafka, namely the kafka-python, confluent-kafka, and pykafka extensions. Our online newsstand prototype will use kafka-python, so we need to install it using...