Analytics to AWS Data pipeline!

Documentation:

https://docs.google.com/document/d/1RVJVExn5PTyuFa3BcTEFBoKaBXfkeqAlcIWjNxAupIE/edit?usp=sharing

Architectural Diagram:

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.

$ pip install -r requirements.txt

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

$ cdk synth

You can now begin exploring the source code, contained in the hello directory. There is also a very trivial test included that can be run like this:

$ pytest

To add additional dependencies, for example other CDK libraries, just add to your requirements.txt 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!