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  • Book Overview & Buying Cloud Native Python
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Cloud Native Python

Cloud Native Python

By : Sethi
3.9 (7)
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Cloud Native Python

Cloud Native Python

3.9 (7)
By: Sethi

Overview of this book

Businesses today are evolving so rapidly that having their own infrastructure to support their expansion is not feasible. As a result, they have been resorting to the elasticity of the cloud to provide a platform to build and deploy their highly scalable applications. This book will be the one stop for you to learn all about building cloud-native architectures in Python. It will begin by introducing you to cloud-native architecture and will help break it down for you. Then you’ll learn how to build microservices in Python using REST APIs in an event driven approach and you will build the web layer. Next, you’ll learn about Interacting data services and building Web views with React, after which we will take a detailed look at application security and performance. Then, you’ll also learn how to Dockerize your services. And finally, you’ll learn how to deploy the application on the AWS and Azure platforms. We will end the book by discussing some concepts and techniques around troubleshooting problems that might occur with your applications after you’ve deployed them. This book will teach you how to craft applications that are built as small standard units, using all the proven best practices and avoiding the usual traps. It's a practical book: we're going to build everything using Python 3 and its amazing tooling ecosystem. The book will take you on a journey, the destination of which, is the creation of a complete Python application based on microservices over the cloud platform
Table of Contents (14 chapters)
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6
Creating UIs to Scale with Flux

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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Cloud Native Python
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