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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

Product type Paperback

Published in Jul 2017

Publisher Packt

ISBN-13 9781787129313

Length 374 pages

Edition 1st Edition

Languages

Python

Tools

AWS

Concepts

Cloud Native

Author (1):

Manish Sethi

View More author details

Table of Contents (14) Chapters

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

What you need for this book

You will need to have Python installed on your system. A text editor, preferably Vim/Sublime/Notepad++, would be great. For one of the chapters, you may be required to download POSTMAN, which is a powerful API testing suite available as a Chrome extension. You can download this at https://chrome.google.com/webstore/detail/postman/fhbjgbiflinjbdggehcddcbncdddomop?hl=en.

Other than these, it would be great if you have an account on the following web applications:

Jenkins
Docker
Amazon Web Services
Terraform

In case you do not have an account, this book will guide you, or at least direct you with regards to creating an account on the previously mentioned web applications.

The rest of the chapter is locked

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Authors (1)

Sethi

Sethi

Manish Sethi works as an engineer in Bangalore, India. Over the course of his career, he has worked for start-ups and Fortune 10 companies, helping organizations adopt a cloud-native approach to architecting massively scalable products. He regularly spends time learning and implementing new technology paradigms and actively finds himself solving practical problems using serverless architecture, machine and deep learning, and so on. He contributes to Bangalore DevOps and the Docker community by writing blog posts, giving talks in meetups, and more.

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