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Copy file name to clipboardExpand all lines: README.md
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@@ -7,10 +7,14 @@ Datadog Lambda Layer for Python (2.7, 3.6 and 3.7) enables custom metric submiss
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Datadog Lambda Layer can be added to a Lambda function via AWS Lambda console, [AWS CLI](https://docs.aws.amazon.com/lambda/latest/dg/configuration-layers.html#configuration-layers-using) or [Serverless Framework](https://serverless.com/framework/docs/providers/aws/guide/layers/#using-your-layers) using the following ARN.
Replace `<AWS_REGION>` with the region where your Lambda function lives, and `<VERSION>` with the desired (or the latest) version that can be found from [CHANGELOG](CHANGELOG.md).
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Replace `<AWS_REGION>` with the AWS region where your Lambda function is published to. Replace `<PYTHON_RUNTIME>` with `Datadog-Python27` with `Datadog-Python36` or `Datadog-Python37` that matches your Lambda's Python runtime. Replace `<VERSION>` with the latest layer version that can be found from [CHANGELOG](CHANGELOG.md). For example,
The Datadog API must be defined as an environment variable via [AWS CLI](https://docs.aws.amazon.com/lambda/latest/dg/env_variables.html) or [Serverless Framework](https://serverless-stack.com/chapters/serverless-environment-variables.html):
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