How can I extract and version control my AWS project configurations and code?

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Asked By CreativeFalcon93 On

I'm working on a project involving AWS Lambda and various services, and I'm looking to extract the code and configurations I've set up in the AWS console. My goal is to save them into a text file so that I can manage version control, especially since I have Lambda functions and an S3 bucket already and plan to add features like SQS. Is there a tool or method that allows me to pull all this data from my AWS account for easy repurposing and deployment in a different account?

5 Answers

Answered By TerraformMaster99 On

Don’t forget about Terraform import! You can import existing resources into your Terraform state, which makes it easier to manage things going forward.

Answered By TechGuru88 On

You might want to look into using AWS CloudFormation for this. It can help you set up your resources and configurations in a way that's manageable and suitable for versioning. Check out their documentation for importing resources!

Answered By DevNinja42 On

What are you using for your setup? If you're using the AWS CDK, you can configure it to handle different configurations per account using CDK context. Terraform is also a great option, as it allows you to manage different configs with variables. Tools like Zod or Joi can help ensure your config files are type-safe!

Answered By CodeSmithX On

If you want to commit your Lambda functions to Git, you can download them directly to VSCode. Once they're local, you're free to version control them as needed! There’s a guide in the AWS Toolkit documentation for VSCode that outlines how to do this.

Answered By ResourceWizard23 On

Exporting directly isn’t that straightforward. You could try using a config recorder, but remember that an export will primarily give you a resource graph without much context. It’s often better to rebuild based on what you have. You can definitely copy-paste code around, but plan how to architect your resources using your chosen IaC tool. This way, you can balance between code deployment and resource provisioning more effectively!

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