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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

Summary

The last chapter has given us the avenue on how to start, deploy, and run a FastAPI microservice application that follows the standards and best practices. It introduces the use of a virtual environment instance to control and manage the installation of modules from the start of the development until the deployment of our applications to Docker containers. The chapter has extensively explained the approaches on how to package, deploy, and run containerized applications. And lastly, the chapter has implemented an NGINX reverse proxy server for the application to build the API Gateway for our specimen.

Right from the start, we have witnessed the simplicity, power, adaptability, and scalability of the FastAPI framework, from creating background processes to rendering data using HTML templates. Its fast execution of API endpoints through its coroutines gives the framework the edge to become one of the most popular Python frameworks in the future. As the community of FastAPI...

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