docker-rabbitmq-python

A mini Docker-based system containing three modules: password, analyzer, and controller.

The password module job is searching inside a folder (theHarvester) containing multiple files and folders and extracting a password contained in one of them.

The analyzer module is analyzing the files as so: Finds the number of files from each type (e.g. .py, .txt, etc...) and lists the top 10 files by size sorted.

The final module is the controller whose job is to execute the other modules and output the results (from both modules) to a JSON file. The communication between the controller and the module is conducted through a message broker—RabbitMQ.

There is no communication between the analyze and password modules due to they are connected to different network. The modules communicate directly to the controller as the controller is the one who creates the JSON file based on the information from the other two modules.

Consumer-producer concept

The controller is the consumer. password and analyzer are the producers—sending to the queue. Hence password and analyzer modules produce (publish) to the queue, while controller consumes from the queue.

Usage

 To build each image, run the following one-liner:

docker build -f analyze_module/Dockerfile -t analyze_module . && docker build -f password_module/Dockerfile -t password_module . && docker build -f controller_module/Dockerfile -t controller_module .

To run all containers after all the images were built, run the following command:

docker-compose up --build

Note that all three modules should run as a docker container, and will communicate via rabbitMQ. Next, the controller will produce a JSON file when it gets the information from the other containers.