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Python Microservices Development

Python Microservices Development - Second Edition

By : Simon Fraser, Tarek Ziadé
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Python Microservices Development

Python Microservices Development

5 (3)
By: Simon Fraser, Tarek Ziadé

Overview of this book

The small scope and self-contained nature of microservices make them faster, cleaner, and more scalable than code-heavy monolithic applications. However, building microservices architecture that is efficient as well as lightweight into your applications can be challenging due to the complexity of all the interacting pieces. Python Microservices Development, Second Edition will teach you how to overcome these issues and craft applications that are built as small standard units using proven best practices and avoiding common pitfalls. Through hands-on examples, this book will help you to build efficient microservices using Quart, SQLAlchemy, and other modern Python tools In this updated edition, you will learn how to secure connections between services and how to script Nginx using Lua to build web application firewall features such as rate limiting. Python Microservices Development, Second Edition describes how to use containers and AWS to deploy your services. By the end of the book, you’ll have created a complete Python application based on microservices.
Table of Contents (14 chapters)
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12
Other Books You May Enjoy
13
Index

What's Next?

In this book, we have discussed the design and development of microservices written in Python using the Quart framework. We have built a monolithic application from which to work, and covered strategies to migrate from that architecture to one that makes the best use of microservices, along with the potential errors that could arise and how to avoid them. We have also learned about deploying our application to cloud providers using container-based services.

However, this is not the end of the story, and there are other topics that are beneficial to learn more about. There is always going to be more room for improvement in our automation and tooling to help services keep up to date, more questions to answer about performance and capacity management that our monitoring and logging can help with, and considerations about how to scale and change our deployment architecture to improve the service's reliability and availability. Finally, we need to remember that...

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