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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 FREE CHAPTER 2. Building Microservices in Python 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

Building a Web Application in Python

In the previous chapter, we focused on building our microservices, which is, basically, backend RESTful APIs, and testing it to make sure the response will be as expected. So far, we have been testing these RESTful APIs using curl, or maybe, using a testing framework, that is, nose, unittest2, and so on. In this chapter, we will create some HTML pages and write a JavaScript REST client, which will interact with microservices.

The topics that we will cover in this chapter are as follows:

  • Building HTML pages and data binding
  • JavaScript REST client using knockout.js

In this chapter, we will create a client application which will need to create dynamic content that is gathered from an HTML web page and, based on the actions of the user, will update the content as a response on the backend service.

As a developer, you must have come across many...

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