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Python Microservices Development

You're reading from   Python Microservices Development Build, test, deploy, and scale microservices in Python

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Product type Paperback
Published in Jul 2017
Publisher Packt
ISBN-13 9781785881114
Length 340 pages
Edition 1st Edition
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Author (1):
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Tarek Ziadé Tarek Ziadé
Author Profile Icon Tarek Ziadé
Tarek Ziadé
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Toc

Table of Contents (20) Chapters Close

Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
Introduction
1. Understanding Microservices FREE CHAPTER 2. Discovering Flask 3. Coding, Testing, and Documenting - the Virtuous Cycle 4. Designing Runnerly 5. Interacting with Other Services 6. Monitoring Your Services 7. Securing Your Services 8. Bringing It All Together 9. Packaging and Running Runnerly 10. Containerized Services 11. Deploying on AWS 12. What Next?

Continuous Integration


Tox can automate every step you are doing when you change something in your project: running tests on various Python interpreters, verifying coverage and PEP 8 conformance, building documentation, and so on.

But running all the checks on every change can be time and resource consuming, in particular, if you support several interpreters.

A Continuous Integration (CI) system solves this issue by taking care of this work every time something changes in your project.

Pushing your project in a shared repository under a Distributed Version Control System (DVCS) like Git or Mercurial, on a server will let you trigger a CI every time someone pushes a change on the server.

If you work on an open source software, and don't want to maintain your code server, GitHub (http://github.com), GitLab (http://gitlab.com), and Bitbucket (https://bitbucket.org/) are the most popular services. They will host your project for free if it's public, and offer social features, which will make it...

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