This is a stable example. It should successfully build out of the box

This example is built on Construct Libraries marked "Stable" and does not have any infrastructure prerequisites to build.

CDK example to create a Python Lambda that uses a Python Lambda Layer. The example demonstrates use of Lambda Layer Python folder structure, and use of L2 Constructs for deploying and using Lambda Layer with a function in CDK.

The cdk.json file tells the CDK Toolkit how to execute your app.

This project is set up like a standard Python project. The initialization process also creates a virtualenv within this project, stored under the .env directory. To create the virtualenv it assumes that there is a python3 (or python for Windows) executable in your path with access to the venv package. If for any reason the automatic creation of the virtualenv fails, you can create the virtualenv manually.

To manually create a virtualenv on MacOS and Linux:

$ python3 -m venv .env

After the init process completes and the virtualenv is created, you can use the following step to activate your virtualenv.

$ source .env/bin/activate

If you are a Windows platform, you would activate the virtualenv like this:

% .env\Scripts\activate.bat

Once the virtualenv is activated, you can install the required dependencies.

$ pip install -r requirements.txt

At this point you can now synthesize the CloudFormation template for this code.

$ cdk synth

A Lambda layer is a .zip file archive that can contain additional code or data. When deployed, CDK creates a layer .zip asset to be stored in a staging bucket managed by CDK. To enable this the AWS account being used needs to be bootstrapped.

With default profile,

$ cdk bootstrap

With specific profile,

$ cdk bootstrap --profile test

With the bootstrap complete, we are ready to deploy the lambda function and lambda layer.

$ cdk deploy