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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

Transferring data

JSON is a human-readable data format. There is a long history of human-readable data transfer on the internet—a good example would be email, as you can quite happily type out the protocol needed to send an email as a human author. This readability is useful for determining exactly what is happening in your code and its connections, especially as JSON maps directly onto Python data structures.

The downside to this readability is the size of the data. Sending HTTP requests and responses with JSON payloads can add some bandwidth overhead in the long run, and serializing and deserializing data from Python objects to JSON structures also adds a bit of CPU overhead.

There are other ways to transfer data that involve caching, compression, binary payloads, or RPC, however.

HTTP cache headers

In the HTTP protocol, there are a few cache mechanisms that can be used to indicate to a client that a page that it's trying to fetch has not changed since...

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