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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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Toc

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

Summary

Throughout the chapter, we discussed the CI and CD tools such as Jenkins, and also looked at the different functionalities of the same. It is very crucial to understand these tools at this stage, as most companies which deal with cloud platforms use these processes for their software development as well as deployment. So, now that you have understood the deployment pipeline, you are ready to understand the platform where we will deploy our application.

In the next chapter, we will talk about Docker (based on the container technology). I'm sure most of you have heard of Docker before, so stay tuned for a deep exposure to Docker. See you in the next chapter!

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