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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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Toc

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

In this chapter, we looked at various ways to manage data using MongoDB. We utilized MongoDB to store non-relational data for our online book reselling system since we expect the data to become large when information is exchanged between the book buyers and resellers. Additionally, the details involved in the transactions are mainly strings, floats, and integers, which are all order and purchase values that will be easier to mine and analyze if they’re stored in schema-less storage.

This chapter took the non-relational data management roadmap for utilizing the data in sales forecasting, regression analysis of book readers’ demands, and other descriptive data analysis forms.

First, you learned how the PyMongo and Motor drivers connect the FastAPI application to the MongoDB database. After understanding the nuts and bolts of creating CRUD transactions using these drivers, you learned that ODM is the better option for pursuing MongoDB connectivity. We explored...

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