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Mastering AWS CloudFormation

You're reading from   Mastering AWS CloudFormation Plan, develop, and deploy your cloud infrastructure effectively using AWS CloudFormation

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Product type Paperback
Published in May 2020
Publisher Packt
ISBN-13 9781789130935
Length 300 pages
Edition 1st Edition
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Author (1):
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Karen Tovmasyan Karen Tovmasyan
Author Profile Icon Karen Tovmasyan
Karen Tovmasyan
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Toc

Table of Contents (17) Chapters Close

Preface 1. Section 1: CloudFormation Internals
2. CloudFormation Refresher FREE CHAPTER 3. Advanced Template Development 4. Section 2: Provisioning and Deployment at Scale
5. Validation, Linting, and Deployment of the Stack 6. Continuous Integration and Deployment 7. Deploying to Multiple Regions and Accounts Using StackSets 8. Configuration Management of the EC2 Instances Using cfn-init 9. Section 3: Extending CloudFormation
10. Creating Resources outside AWS Using Custom Resources 11. Dynamically Rendering the Template Using Template Macros 12. Generating CloudFormation Templates Using AWS CDK 13. Deploying Serverless Applications Using AWS SAM 14. What's Next? 15. Assessments 16. Other Books You May Enjoy

To get the most out of this book

In order to write and test the code in this book, you will need a Linux, macOS, or Windows machine with WSL (Windows Subsystem for Linux). You will need AWS CLI, Python, and obviously an AWS account. You can use any IDE or code editor you prefer. To write the code for this book, I used JetBrains PyCharm and Visual Studio Code, since they have nice plugins for CloudFormation.

For the CDK and SAM, you will additionally need Docker, Homebrew, and Node package manager (NPM).

All code examples were written on macOS, but they can easily run on a Linux system or WSL.

If you are using the digital version of this book, we advise you to type the code yourself or access the code via the GitHub repository (link available in the next section). Doing so will help you avoid any potential errors related to the copy/pasting of code.

Keep in mind that using CloudFormation on AWS is free but you will pay for the resources it creates. In the book, I tried to use the smallest amount of resources possible (such as t2.micro instances), but always pay attention to your AWS account and don't forget to delete the stack and other resources once you are done practicing.

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