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Implementing DevOps on AWS

You're reading from   Implementing DevOps on AWS Engineering DevOps for modern businesses

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Product type Paperback
Published in Jan 2017
Publisher Packt
ISBN-13 9781786460141
Length 258 pages
Edition 1st Edition
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Author (1):
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Vaselin Kantsev Vaselin Kantsev
Author Profile Icon Vaselin Kantsev
Vaselin Kantsev
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Table of Contents (11) Chapters Close

Preface 1. What is DevOps and Should You Care? FREE CHAPTER 2. Start Treating Your Infrastructure as Code 3. Bringing Your Infrastructure Under Configuration Management 4. Build, Test, and Release Faster with Continuous Integration 5. Ever-Ready to Deploy Using Continuous Delivery 6. Continuous Deployment - A Fully Automated Workflow 7. Metrics, Log Collection, and Monitoring 8. Optimize for Scale and Cost 9. Secure Your AWS Environment 10. AWS Tips and Tricks

Chapter 4. Build, Test, and Release Faster with Continuous Integration

The emphasis of this chapter will be the value of quick iteration: Quick over quality iteration, as per Boyd's law (you might recall the OODA principle mentioned in Chapter 1, What Is DevOps and Should You Care?).

By iteration, I am referring to a software development cycle, from the moment a piece of code is written, published (committed to version control), compiled (if needed), tested and finally deployed.

Continuous Integration (CI) defines the routines that should be adopted by developers plus the necessary tools to make this iteration as fast as possible.

Let us start with the human factor:

  • Use version control (for example Git)
  • Commit smaller changes, more often
  • Test locally first
  • Do peer code reviews
  • Pause other team activity until an issue is resolved

Then add a bit of automation (a CI server):

  • Monitor for version control changes (for example Git commits)
  • Pull down changed code
  • Compile and run tests
    • On success...
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