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Python Microservices Development

You're reading from   Python Microservices Development Build, test, deploy, and scale microservices in Python

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Product type Hardcover
Published in Sep 2021
Last Updated in Feb 2025
Publisher Packt
ISBN-13 9781801076302
Length 310 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (14) Chapters Close

Preface 1. Understanding Microservices 2. Discovering Quart FREE CHAPTER 3. Coding, Testing, and Documentation: the Virtuous Cycle 4. Designing Jeeves 5. Splitting the Monolith 6. Interacting with Other Services 7. Securing Your Services 8. Making a Dashboard 9. Packaging and Running Python 10. Deploying on AWS 11. What's Next? 12. Other Books You May Enjoy
13. Index

Summary

In this chapter, we looked at how microservices can be containerized with containers, and how you can create a deployment entirely based on Docker images. Containers are a well-established technology that is widely used to run internet services. The most important thing to keep in mind is that a containerized application is ephemeral: it is designed to be destroyed and recreated on demand, and any data that is not externalized using a mount point is lost.

For provisioning and clustering your services, there is no generic solution, as the tools you use will depend on your needs. From a simple Docker Compose setup to a full Kubernetes cluster, each option provides different complexity and benefits. The best choice often depends on where you are to deploy your services, how your teams work, and how large your application needs to be in the present—there is no sense in planning for an unknowable future.

The best way to tackle this problem is to take baby...

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