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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JSON is a human-readable data format. There is a long history of human-readable data transfer on the internet—a good example would be email, as you can quite happily type out the protocol needed to send an email as a human author. This readability is useful for determining exactly what is happening in your code and its connections, especially as JSON maps directly onto Python data structures.

The downside to this readability is the size of the data. Sending HTTP requests and responses with JSON payloads can add some bandwidth overhead in the long run, and serializing and deserializing data from Python objects to JSON structures also adds a bit of CPU overhead.

There are other ways to transfer data that involve caching, compression, binary payloads, or RPC, however.

HTTP cache headers

In the HTTP protocol, there are a few cache mechanisms that can be used to indicate to a client that a page that it's trying to fetch has not changed since...