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Controlling Network Access to S3 from your VPC using VPC Endpoints

Preparation

This recipe requires some “prep work” which deploys resources that you’ll build the solution on. You will use the AWS CDK to deploy these resources

In the root of the Chapter 2 repo cd to the “209-Using-Gateway-VPC-Endpoints-with-S3/cdk-AWS-Cookbook-209” directory and follow the subsequent steps:

cd 209-Using-Gateway-VPC-Endpoints-with-S3/cdk-AWS-Cookbook-209/
test -d .venv || python3 -m venv .venv
source .venv/bin/activate
pip install --upgrade pip
pip install -r requirements.txt
cdk deploy

Wait for the cdk deploy command to complete.

We created a helper.py script to let you easily create and export environment variables to make subsequent commands easier. Run the script, and copy the output to your terminal to export variables:

python helper.py

Navigate up to the main directory for this recipe (out of the “cdk-AWS-Cookbook-209” directory):

cd ..

Clean up

Delete the VPC Endpoint:

aws ec2 delete-vpc-endpoints --vpc-endpoint-ids $END_POINT_ID

Go to the cdk-AWS-Cookbook-209 directory:

cd cdk-AWS-Cookbook-209/

To clean up the environment variables, run the helper.py script in this recipe’s cdk- directory with the --unset flag, and copy the output to your terminal to export variables:

python helper.py --unset

Unset your manually created environment variables:

unset END_POINT_ID

Use the AWS CDK to destroy the resources, deactivate your Python virtual environment, and go to the root of the chapter:

cdk destroy && deactivate && rm -r .venv/ && cd ../..