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Python Microservices Development

You're reading from   Python Microservices Development Build, test, deploy, and scale microservices in Python

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Product type Paperback
Published in Jul 2017
Publisher Packt
ISBN-13 9781785881114
Length 340 pages
Edition 1st Edition
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Author (1):
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Tarek Ziadé Tarek Ziadé
Author Profile Icon Tarek Ziadé
Tarek Ziadé
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Table of Contents (13) Chapters Close

Preface 1. Understanding Microservices FREE CHAPTER 2. Discovering Flask 3. Coding, Testing, and Documenting - the Virtuous Cycle 4. Designing Runnerly 5. Interacting with Other Services 6. Monitoring Your Services 7. Securing Your Services 8. Bringing It All Together 9. Packaging and Running Runnerly 10. Containerized Services 11. Deploying on AWS 12. What Next?

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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