This sample project demonstrates how to deploy a Lambda Function that has a layer added to it.

This includes a sample directory structure that comprises the `dependencies` directory for the python packages and the `src` directory for the Lambda function business logic.

The Terraform code deploys two Lambda functions. Both Lambda functions attempt to import the `mysql-connector-python` package.

However, only one of the Lambda functions has the `mysql-connector-python` layer which allows it to import the package successfully.

This pattern tests both Lambda functions to illustrate the difference when there is a layer added to a Lambda function.

In addition, the Lambda function with the layer lists all files in the `/opt` directory which allows us to view the files that were uploaded by the layer.

One use case for Lambda layers is to have packages like `mysql-connector-python` shared across various Lambda functions that require connections to RDS MySQL.

Another use case could be to add certificates as layers that can then be used by Lambda Functions to encrypt a connection to a DB instance via SSL/TLS.

The path to these certificates in the `/opt` directory can be specified in the various `connect` commands.

Using layers reduces the size of uploaded deployment archives and makes it faster to deploy your code.