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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

Continuous Deployment for a cloud native application

In the previous section, we successfully set up the infrastructure, but we are yet to deploy the application. Also, we need to make sure that further deployment should be taken care of using Continuous Deployment. Since we have our development environment in our local machine, we don't need to set up the continuous integration cycle. However, for large-scale companies where many developers work collaboratively, we need to set up a separate pipeline for Continuous Integration using Jenkins. In our case, we only need Continuous Deployment. Our Continuous Deployment pipeline would be something like this:


How it works

It starts with the developer pushing new code to the...

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