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Python Microservices Development – 2nd edition

You're reading from   Python Microservices Development – 2nd edition Build efficient and lightweight microservices using the Python tooling ecosystem

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Product type Paperback
Published in Sep 2021
Publisher Packt
ISBN-13 9781801076302
Length 310 pages
Edition 2nd Edition
Languages
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Authors (2):
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Tarek Ziadé Tarek Ziadé
Author Profile Icon Tarek Ziadé
Tarek Ziadé
Simon Fraser Simon Fraser
Author Profile Icon Simon Fraser
Simon Fraser
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Toc

Table of Contents (14) Chapters Close

Preface 1. Understanding Microservices 2. Discovering Quart FREE CHAPTER 3. Coding, Testing, and Documentation: the Virtuous Cycle 4. Designing Jeeves 5. Splitting the Monolith 6. Interacting with Other Services 7. Securing Your Services 8. Making a Dashboard 9. Packaging and Running Python 10. Deploying on AWS 11. What's Next? 12. Other Books You May Enjoy
13. Index

Running all microservices

So far, we have run our Quart applications using the built-in Quart wrapper, or using the run() function. This works well for development, as the app can detect changes to its source code and reload itself, saving time when making changes. However, there are limitations to this, not least of which is that this is running the server in a development mode, with extra diagnostics turned on that slow down the server's operation.

Instead, we should run our applications using Hypercorn (https://pgjones.gitlab.io/hypercorn/), an ASGI web server that allows Quart to run to its full potential, supporting HTTP/2, HTTP/3, as well as WebSocket. It's already installed alongside Quart and is very straightforward to use. For our dataservice application, we would run:

$ hypercorn dataservice:app

Hypercorn is the latest in a mine of WSGI and ASGI servers that aim to serve web applications, and if you are searching the Flask documentation when looking...

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