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@@ -100,7 +100,9 @@ The AWS CLI requires that you have credentials to be able to access and manage r
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> Note to the workshop instructor: create a new user in the target AWS account called `lambda-workshop-user`.
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> Ensure it has full permissions to perform the required actions via Terraform. For example, adding the
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>`AdministratorAccess` policy to the user is sufficient.
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>`AdministratorAccess` policy to the user is sufficient. Create an access token for the `lambda-workshop-user`
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> and share the Access Key ID and Secret Access Key with the workshop participants. Delete the user
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> when the workshop is complete.
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#### Terraform
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Terraform supports the passing of variables to ensure sensitive or dynamic data is not hard-coded in your .tf configuration files, as well as to make those values reusable throughout your resource definitions.
@@ -124,10 +126,11 @@ We will be using a combination of _**variables.tf**_ and _**terraform.tfvars**_
- _Ensure you change only the placeholders, leaving the quotes and brackets intact, where applicable._
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- _For the **otel_lambda_layer**, use the value for**us-east-1** found [here](https://github.com/signalfx/lambda-layer-versions/blob/main/splunk-apm/splunk-apm.md)
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- _The _**prefix**_ is a unique identifier you can choose for yourself, to make your resources distinct from other participants' resources. We suggest using a short form of your name, for example._
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- _Also, please only lowercase letters for the **prefix**. Certain resources in AWS, such as S3, would through an error if you use uppercase letters._
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