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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Understanding Microservices

We are always trying to improve how we create software. Computer programming is less than 100 years old, and we have evolved rapidly through technology, design, and philosophy to improve the tools and applications we produce.

Microservices have revolutionized software products by improving the readability and scalability of services, and have allowed organizations to speed up their release cycles and be more responsive to the needs of their customers. Everybody wants to ship new products and new features to their customers as fast as possible. They want to be agile by iterating often, and they want to ship, ship, and ship again.

With thousands of customers using your service simultaneously, it is considered good practice to push an experimental feature to production and remove it again if needed, instead of waiting for months to publish it and many other features at the same time.

Companies such, as Netflix, are promoting their...