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Python Microservices Development

Python Microservices Development

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Python Microservices Development

Python Microservices Development

4 (5)

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 (13 chapters)
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Synchronous calls


As we've seen in the previous chapters, synchronous interactions between microservices can be done via RESTful HTTP APIs using JSON payloads.

That's by far the most used pattern, because both HTTP and JSON are the golden standards. If your web service implements an HTTP API that accepts JSON, any developer using any programming language will happily use it.

Following a RESTful scheme, on the other hand, is not a requirement and is prone to interpretation. Countless blog posts are debating the virtue of using POST versus PUT response on the internet.

Some projects implement Remote Procedure Call (RPC) APIs over HTTP rather than REST APIs. In RPC, the focus is on the action, which is part of the endpoint URL. In REST, the focus is on the resource, and actions are defined by HTTP methods.

Some projects are a mix of both and don't strictly follow a given standard. The most important thing is that your service behavior should be consistent and well-documented.

Note

This book leans...

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