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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

Testing the React webViews

Since we are building webViews, we need to test them to catch some of the bugs before they happen. Also, testing will help you build better code.

There are a number of UI-testing frameworks which could help you test your web apps. Two of them are discussed in the following section.

Jest

Jest is a unit testing framework, which is provided by Facebook to test JavaScript. It is used to test individual components. It is simple, standard, and standalone.

It tests your components based on fake DOM implementations, and runs different tests to check the functionalities. It automatically resolves dependencies. Also, you can run all the tests in parallel.

You can refer to the following link, which could help...

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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