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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Docker-based deployments

Deploying a microservice at scale can be done by running several containers spread across either one or several instances. When we are developing our application locally, we are limited to what our one desktop or laptop computer can provide; but for a production service, it may run on dozens or hundreds of servers, with each one running a container that is providing different parts of the application. Each of the options for deploying your application in the cloud, or scaling it up to meet your needs, will involve running more instances, to run more containers.

The first to examine is Docker Compose, which is aimed at smaller-scale deployments, mostly contained in a single instance, but running multiple containers. This is ideal for a development environment, a staging environment, or a prototype. Other options we will look at are Docker Swarm and Kubernetes, which provide different levels of complexity for someone deploying an application, but also increasing...