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Python Microservices Development – 2nd edition

Python Microservices Development – 2nd edition

By : Fraser, Ziadé
5 (3)
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Python Microservices Development – 2nd edition

Python Microservices Development – 2nd edition

5 (3)
By: Fraser, 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

Web application firewall

Even with the safest handling of data, our application can still be vulnerable to attack. When you're exposing HTTP endpoints to the world, this is always a risk. You will be hoping for callers to behave as intended, with each HTTP conversation following a scenario that you have programmed in the service.

A client can send legitimate requests and just hammer your service with it, leading to a Denial of Service (DoS) due to all the resources then being used to handle requests from the attacker. When many hundreds or thousands of clients are used to do this, it's known as a Distributed Denial of Service (DDoS) attack. This problem sometimes occurs within distributed systems when clients have replay features that are automatically recalling the same API. If nothing is done on the client side to throttle calls, you might end up with a service overloaded by legitimate clients.

Adding protection on the server side to make such zealous clients back...

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