wcheek / CDK_Lambda_EFS

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Lambda function with persistent file store using AWS CDK and AWS EFS

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 using AWS EFS we can attach a persistent filesystem to your Lambda function!

The Dev.to article can be found here

If starting from scratch

  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 and cdk deploy

Welcome to your CDK Python project!

This is a blank project for Python development with 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 .venv 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:

$ python -m venv .venv

After the init process completes and the virtualenv is created, you can use the following step 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 add them to your setup.py file and rerun the pip install -r requirements.txt command.

Useful commands

  • 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!

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Language:Python 87.5%Language:Batchfile 12.5%