Book Image

Python Microservices Development – 2nd edition - Second Edition

By : Simon Fraser, Tarek Ziadé
Book Image

Python Microservices Development – 2nd edition - Second Edition

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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In this chapter, we've compared the monolithic and microservice approaches to building web applications, and it became apparent that there's not a binary choice where you have to pick one model on day one and stick with it.

You should see microservices as an improvement of an application that started its life as a monolith. As the project matures, parts of the service logic should migrate into microservices. It is a useful approach, as we've learned in this chapter, but it should be done carefully to avoid falling into some common traps.

Another important lesson is that Python is considered to be one of the best languages to write web applications and, therefore, microservices. For the same reasons, it's a language of choice in other areas, and also because it provides many mature frameworks and packages to do the work.

Python can be a slow language, and that can be a problem in very specific cases. Knowing what makes it slow, and the different...