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Have you ever wanted Lambda functions to be able to save and load files locally without needing to transfer data between an S3 b? This article is for you.

By usingAWS EFS we canattach a persistent filesystem to your Lambda function!

TheDev.to article can be found here

1. mkdir project && cd project
2. cdk init --language python
3. Follow instructions below to activate venv, install libraries.
4. Make sure you have activated your AWS credentials andcdk deploy

This is a blank project for Python development with CDK.

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

This project is set up like a standard Python project. The initializationprocess also creates a virtualenv within this project, stored under the.venvdirectory. To create the virtualenv it assumes that there is apython3(orpython for Windows) executable in your path with access to thevenvpackage. 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:

$ python -m venv .venv

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

$ source .venv/bin/activate

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

% .venv\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

To add additional dependencies, for example other CDK libraries, just addthem to yoursetup.py file and rerun thepip install -r requirements.txtcommand.

• cdk ls list all stacks in the app
• cdk synth emits the synthesized CloudFormation template
• cdk deploy deploy this stack to your default AWS account/region
• cdk diff compare deployed stack with current state
• cdk docs open CDK documentation

Enjoy!