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

Chapter 11. Deploying on AWS

Unless you are Google or Amazon, and need to run thousands of servers, managing your hardware in some data center does not provide many benefits in 2017.

Cloud providers offer to host a solution that is often cheaper than deploying and maintaining your infrastructure. Amazon Web Services (AWS) and others have numerous services that let you manage virtual machines from a web console, and they add new features every year.

One of the latest AWS additions, for example, is Amazon Lambda. Lambda lets you trigger a Python script when something happens in your deployments. With Lambda, you do not have to worry about setting up a server and a cron job, or some form of messaging. AWS takes care of executing your script in a VM automatically, and you only pay for execution time.

Combined with what Docker has to offer, this kind of feature really changes how applications can be deployed in the cloud, and provide a fair amount of flexibility. For instance, you do not have to...