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Implementing DevOps on AWS

Implementing DevOps on AWS

By : Vaselin Kantsev
3.6 (7)
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Implementing DevOps on AWS

Implementing DevOps on AWS

3.6 (7)
By: Vaselin Kantsev

Overview of this book

Knowing how to adopt DevOps in your organization is becoming an increasingly important skill for developers, whether you work for a start-up, an SMB, or an enterprise. This book will help you to drastically reduce the amount of time spent on development and increase the reliability of your software deployments on AWS using popular DevOps methods of automation. To start, you will get familiar with the concept of IaC and will learn to design, deploy, and maintain AWS infrastructure. Further on, you’ll see how to design and deploy a Continuous Integration platform on AWS using either open source or AWS provided tools/services. Following on from the delivery part of the process, you will learn how to deploy a newly created, tested, and verified artefact to the AWS infrastructure without manual intervention. You will then find out what to consider in order to make the implementation of Configuration Management easier and more effective. Toward the end of the book, you will learn some tricks and tips to optimize and secure your AWS environment. By the end of the book, you will have mastered the art of implementing DevOps practices onto AWS.
Table of Contents (11 chapters)
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1
1. What is DevOps and Should You Care?
4
4. Build, Test, and Release Faster with Continuous Integration

Chapter 2. Start Treating Your Infrastructure as Code

Ladies and gentlemen, put your hands in the air, for Programmable Infrastructure is here!

Perhaps Infrastructure-as-Code (IaC) is not an entirely new concept considering how long Configuration Management has been around. Codifying server, storage, and networking infrastructure and their relationships, however, is a relatively recent tendency brought about by the rise of cloud computing. But let us leave Configuration Management for later and focus our attention on that second aspect of IaC.

You should recall from the previous chapter some of the benefits of storing all the things as code:

  • Code can be kept under version control
  • Code can be shared/collaborated on easily
  • Code doubles as documentation
  • Code is reproducible

That last point was a big win for me personally. Automated provisioning helped reduce the time it took to deploy a full-featured cloud environment from four hours down to one, and the occurrences of human error to almost...

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