Book Image

Python Microservices Development

Book Image

Python Microservices Development

Overview of this book

We often deploy our web applications into the cloud, and our code needs to interact with many third-party services. An efficient way to build applications to do this is through microservices architecture. But, in practice, it's hard to get this right due to the complexity of all the pieces interacting with each other. This book will teach you how to overcome these issues and craft applications that are built as small standard units, using all the proven best practices and avoiding the usual traps. It's a practical book: you’ll build everything using Python 3 and its amazing tooling ecosystem. You will understand the principles of TDD and apply them. You will use Flask, Tox, and other tools to build your services using best practices. 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. You will also familiarize yourself with Docker’s role in microservices, and use Docker containers, CoreOS, and Amazon Web Services to deploy your services. This book will take you on a journey, ending with the creation of a complete Python application based on microservices. By the end of the book, you will be well versed with the fundamentals of building, designing, testing, and deploying your Python microservices.
Table of Contents (20 chapters)
Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
Introduction

Process management


We've seen in Chapter 2, Discovering Flask, that Flask-based applications, in general, run in a single-threaded environment.

To add concurrency, the most common pattern is to use a prefork model. Serving several clients concurrently is done by forking several processes (called workers), which accept incoming connections from the same inherited socket. The socket can be a TCP Socket or a Unix Socket. Unix sockets can be used when both the clients and the server are running on the same machine. They are based on exchanging data via a file and are slightly faster than TCP sockets, since they don't have to deal with the network protocol overhead. Using Unix Sockets to run Flask apps is common when the application is proxied via a front server like NGinx.

In any case, Unix or TCP, every time a request reaches the socket, the first available process accepts the request and handles it. Which process gets which request is done at the system level by the system socket API with a...