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Hands-On Reactive Programming with Python

You're reading from   Hands-On Reactive Programming with Python Event-driven development unraveled with RxPY

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Product type Paperback
Published in Oct 2018
Publisher Packt
ISBN-13 9781789138726
Length 420 pages
Edition 1st Edition
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Author (1):
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Romain Picard Romain Picard
Author Profile Icon Romain Picard
Romain Picard
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Table of Contents (16) Chapters Close

Preface 1. An Introduction to Reactive Programming FREE CHAPTER 2. Asynchronous Programming in Python 3. Functional Programming with ReactiveX 4. Exploring Observables and Observers 5. Concurrency and Parallelism in RxPY 6. Implementation of an Audio Transcoding Server 7. Using Third-Party Services 8. Dynamic Reconfiguration and Error Management 9. Operators in RxPY 10. Testing and Debugging 11. Deploying and Scaling Your Application 12. Reactive Streams for Remote Communication 13. A Checklist of Best Practices 14. Assessments 15. Other Books You May Enjoy

Summary

This chapter was the conclusion of our journey from an initial echo example up to a realistic application being deployed on a cloud environment, which was scalable and secured with TLS.

Reverse proxies are some of the basic tools needed to deploy applications, especially when they are composed of several services. Reverse proxies that operate on layer 7 also often implement load balancing features. Load balancing allows us to distribute the load between several instances of a service. Some of these tools, such as Traefik, leverage the Docker ecosystem to make their configuration very easy and dynamic.

Docker Compose allows us to manage containers much more easily than directly using Docker. Using it simplifies the deployment of applications that use multiple containers. Moreover, it allows us to easily scale a container up or down by starting or stopping some instances...

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