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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?

Process management


We've seen in Chapter 2, Discovering Flask, that Flask-based applications, in general, run in a single-threaded environment.

To add concurrency, the most common pattern is to use a prefork model. Serving several clients concurrently is done by forking several processes (called workers), which accept incoming connections from the same inherited socket. The socket can be a TCP Socket or a Unix Socket. Unix sockets can be used when both the clients and the server are running on the same machine. They are based on exchanging data via a file and are slightly faster than TCP sockets, since they don't have to deal with the network protocol overhead. Using Unix Sockets to run Flask apps is common when the application is proxied via a front server like NGinx.

In any case, Unix or TCP, every time a request reaches the socket, the first available process accepts the request and handles it. Which process gets which request is done at the system level by the system socket API with a...

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