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

The aiohttp framework


The aiohttp (http://aiohttp.readthedocs.io/) framework is a popular asynchronous framework based on the asyncio library, which has been around since the first days of the library.

Like Flask, it provides a request object and a router to redirect queries to functions that handle them.

The asyncio library's event loop is wrapped into an Application object, which handles most of the orchestration work. As a microservice developer, you can just focus on building your views as you would do with Flask.

In the following example, the api() coroutine returns some JSON response when the application is called on /api:

    from aiohttp import web 
 
    async def api(request): 
        return web.json_response({'some': 'data'}) 
  
    app = web.Application() 
    app.router.add_get('/api', api) 
    web.run_app(app) 

The aiohttp framework has a built-in web server, which is used to run this script via the run_app() method, and, overall, if you are used to Flask, the biggest difference...