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Cloud Native Python

You're reading from   Cloud Native Python Build and deploy resilent applications on the cloud using microservices, AWS, Azure and more

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Product type Paperback
Published in Jul 2017
Publisher Packt
ISBN-13 9781787129313
Length 374 pages
Edition 1st Edition
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Author (1):
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Manish Sethi Manish Sethi
Author Profile Icon Manish Sethi
Manish Sethi
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Toc

Table of Contents (14) Chapters Close

Preface 1. Introducing Cloud Native Architecture and Microservices 2. Building Microservices in Python FREE CHAPTER 3. Building a Web Application in Python 4. Interacting Data Services 5. Building WebViews with React 6. Creating UIs to Scale with Flux 7. Learning Event Sourcing and CQRS 8. Securing the Web Application 9. Continuous Delivery 10. Dockerizing Your Services 11. Deploying on the AWS Platform 12. Implementing on the Azure Platform 13. Monitoring the Cloud Application

Summary

This was a complex chapter, but if you understand it fully, it will make your application efficient and high performance.

We kicked off by understanding the drawbacks of the classic architecture, and then moved on to discuss the concept and implementation of ES and CQRS. We also looked at the implementation of a sample problem. We talked about why these patterns are useful, and how they have a particular harmony with massive-scale, cloud native applications.

In the upcoming chapter, we are going to deep dive into the security of the application. Stay tuned!

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