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Mastering AWS CloudFormation

You're reading from   Mastering AWS CloudFormation Build resilient and production-ready infrastructure in Amazon Web Services with CloudFormation

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Product type Paperback
Published in Nov 2023
Publisher Packt
ISBN-13 9781805123903
Length 310 pages
Edition 2nd 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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Table of Contents (19) Chapters Close

Preface 1. Part 1: CloudFormation Internals FREE CHAPTER
2. Chapter 1: Working with CloudFormation 3. Chapter 2: Advanced Template Development 4. Part 2: Provisioning and Deployment at Scale
5. Chapter 3: Validation, Linting, and Deploying the Stack 6. Chapter 4: Continuous Integration and Deployment 7. Chapter 5: Deploying to Multiple Regions and Accounts Using StackSets 8. Chapter 6: Configuration Management of EC2 Instances Using cfn-init 9. Part 3: Extending CloudFormation
10. Chapter 7: Creating Resources Outside AWS Using Custom Resources 11. Chapter 8: Creating Your Own Resource Registry for CloudFormation 12. Chapter 9: Scale Your Templates Using Macros, Nested Stacks, and Modules 13. Chapter 10: Generating CloudFormation Templates Using AWS CDK 14. Chapter 11: Deploying Serverless Applications Using AWS SAM 15. Chapter 12: What’s Next? 16. Assessments 17. Index 18. Other Books You May Enjoy

Dynamic references with Parameter Store and Secrets Manager

At the beginning of this chapter, we looked at working with static parameters either in JSON or command-line argument form.

Although it is a known practice in infrastructure-as-code to keep parameters in a Version Control System (VCS), it introduces additional complexity.

If we store parameters in a VCS, we need to take care of encrypting sensitive data, such as passwords or other credentials. If we pass them via command-line arguments, we have to make sure we don’t make a mistake or a typo (which is a common occurrence in the life of IT engineers).

To solve these issues, we can store template parameters in the SSM Parameter Store or Secrets Manager (for passwords).

They both support versioning, so we can always revert the parameters to the previous version if there was a mistake and then redeploy our stack.

Another benefit of using the Parameter Store and Secrets Manager is that we can provide developers...

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