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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

Deploying an application on Docker

In this section, we will deploy our cloud native application, which we developed in the previous chapters. However, before we begin with the creation of our application architecture, there are a few concepts of Docker one should be aware of, some of which are as follows:

  • Docker images: These are basically a combination of library and the applications deployed on top of it. These images can be downloaded from the Docker Hub public repository, or you can create your customized images as well.
  • Dockerfile: This is a configuration file to build your images that can be used to run your Docker machine later on.
  • Docker Hub: This is a centralized repository where you can keep your images, which can be shared across the team.

We will use all these concepts during our application deployment. Also, we will keep using our Docker Swarm setup to deploy our...

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