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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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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

Learning Event Sourcing and CQRS

In the last chapter, we looked into the drawbacks of our current business model, and now, in this chapter, we'll look at how Event Sourcing (ES) and CQRS (Command Query Responsibility Segregation) would be helpful to overcome those.

In this chapter, we will talk about some architectural designs that deal with massive scalability. We will also look at two patterns, Event Sourcing and CQRS, which are all about solving the problem response behavior for such an enormous number of requests.

Many of us think that compliance with twelve-factor apps will make our application a cloud native application with higher scalability, but there are other strategies, such as ES and CQRS, which can make our application more reliable.

Since cloud native applications are internet facing, we expect thousands or millions of requests from different sources. Implementing...

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