/aws-activity-tracking

A solution that tracks and notifies on Root activities and abnormal sign-in activities for an AWS account.

Primary LanguagePython

Tracking and Notifying on AWS Sign-in activities

Here is the high-level architecture of the solution high-level-architecture

  1. IAM users and/or Root account sign-in to either Web Console or Mobile Console
  2. That sign-in activity is captured and tracked by Cloud Trail
  3. A Cloud Trail event is sent to Event Bridge automatically
  4. Event Bridge triggers a state machine in Step Function
  5. The state machine process the event and send a message SNS topic if needed
  6. SNS with a Lambda function subscribed to the topic will send appropriate notifications Slack

Details of the state machine - the main part of the solution step-function-details

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.

$ 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.

export SLACK_WEBHOOK_ALARM_AWS=<SLACK_WEBHOOK_ALARM_AWS>