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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 integration

Continuous integration is a process of collaborating the code into the mainline code base. In simple words, continuous integration helps developers to test their new code at the initial stage by creating frequent builds while they are developing and generating test results, and if everything works, then merging the code to the mainline code.

This can be understood by the following diagram, which depicts the issues that occur during SDLC:


There are, basically, the following types of issues that occur during continuous integration:

  • Build failure before integration
  • Integration failures
  • Build failure (after integration)

In order to solve those issues, the developer needs to modify the code to fix it, and the complete integration process is repeated again until the feature is successfully deployed.

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