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logging-api-calls-to-firehose

Logging Amazon API Gateway API Calls to Kinesis Data Firehose

logging-api-calls-to-firehose

This is a CDK Python project for logging API calls to Amazon Kinesis Data Firehose.

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:

$ python3 -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.

(.venv) $ pip install -r requirements.txt

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

(.venv) $ export CDK_DEFAULT_ACCOUNT=$(aws sts get-caller-identity --query Account --output text)
(.venv) $ export CDK_DEFAULT_REGION=$(aws configure get region)
(.venv) $ cdk synth -c firehose_name=amazon-apigateway-{your-delivery-stream-name}

⚠️ The name of your Kinesis Data Firehose delivery stream must be amazon-apigateway-{your-delivery-stream-name}.

Use cdk deploy command to create the stack shown above,

(.venv) $ cdk deploy -c firehose_name=amazon-apigateway-{your-delivery-stream-name}

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.

Clean Up

Delete the CloudFormation stack by running the below command.

(.venv) $ cdk destroy

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!

Run Test

  1. Invoke REST API method

    $ curl -X GET 'https://{your-api-gateway-id}.execute-api.{region}.amazonaws.com/prod/random/strings?len=7'
    

    The response is:

    ["weBJDKv"]
    
  2. Generate test requests and run them.

    $ cat <<EOF > run_test.sh
    > curl 'https://{your-api-gateway-id}.execute-api.{region}.amazonaws.com/prod/random/strings?len=7'
    > curl 'https://{your-api-gateway-id}.execute-api.{region}.amazonaws.com/prod/random/strings?chars=letters'
    > curl 'https://{your-api-gateway-id}.execute-api.{region}.amazonaws.com/prod/random/strings?chars=letters&len=15'
    > curl 'https://{your-api-gateway-id}.execute-api.{region}.amazonaws.com/prod/random/strings?chars=lowercase&len=15'
    > curl 'https://{your-api-gateway-id}.execute-api.{region}.amazonaws.com/prod/random/strings?chars=uppercase&len=5'
    > curl 'https://{your-api-gateway-id}.execute-api.{region}.amazonaws.com/prod/random/strings?chars=digits&len=7'
    > curl 'https://{your-api-gateway-id}.execute-api.{region}.amazonaws.com/prod/random/strings?chars=digits&len=17'
    > curl 'https://{your-api-gateway-id}.execute-api.{region}.amazonaws.com/prod/random/strings?len=3'
    > curl 'https://{your-api-gateway-id}.execute-api.{region}.amazonaws.com/prod/random/strings?chars=letters&len=9'
    > curl 'https://{your-api-gateway-id}.execute-api.{region}.amazonaws.com/prod/random/strings?len=17'
    > EOF
    $ bash ./run_test.sh
    
  3. Check the access logs in S3

    After 5~10 minutes, you can see that the access logs have been delivered by Kinesis Data Firehose to S3 and stored in a folder structure by year, month, day, and hour.

    amazon-apigatewy-access-log-in-s3

References