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Building Python Microservices with FastAPI

You're reading from   Building Python Microservices with FastAPI Build secure, scalable, and structured Python microservices from design concepts to infrastructure

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Product type Paperback
Published in Aug 2022
Publisher Packt
ISBN-13 9781803245966
Length 420 pages
Edition 1st Edition
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Author (1):
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Sherwin John C. Tragura Sherwin John C. Tragura
Author Profile Icon Sherwin John C. Tragura
Sherwin John C. Tragura
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Table of Contents (17) Chapters Close

Preface 1. Part 1: Application-Related Architectural Concepts for FastAPI microservice development
2. Chapter 1: Setting Up FastAPI for Starters FREE CHAPTER 3. Chapter 2: Exploring the Core Features 4. Chapter 3: Investigating Dependency Injection 5. Chapter 4: Building the Microservice Application 6. Part 2: Data-Centric and Communication-Focused Microservices Concerns and Issues
7. Chapter 5: Connecting to a Relational Database 8. Chapter 6: Using a Non-Relational Database 9. Chapter 7: Securing the REST APIs 10. Chapter 8: Creating Coroutines, Events, and Message-Driven Transactions 11. Part 3: Infrastructure-Related Issues, Numerical and Symbolic Computations, and Testing Microservices
12. Chapter 9: Utilizing Other Advanced Features 13. Chapter 10: Solving Numerical, Symbolic, and Graphical Problems 14. Chapter 11: Adding Other Microservice Features 15. Index 16. Other Books You May Enjoy

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...

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