The article provides a comprehensive guide on integrating microservices using Django and Flask frameworks with RabbitMQ as a message broker, demonstrating how to convert a monolithic recipe API into microservices. It explains the development of both producer and consumer services for each microservice, detailing how the Django application manages recipe creation, updates, and deletion, while the Flask application handles commenting functionalities. Both applications use Postgres as their database, with RabbitMQ facilitating asynchronous communication between them through the Pika library. The article further illustrates how to package these microservices using Docker and Docker Compose for consistent deployment across environments, including running migrations and setting up a superuser for Django. It also touches on using CloudAMQP as a cloud-based message queue service to manage RabbitMQ servers. The guide concludes with instructions on testing the setup by creating recipes and comments, monitoring activity through RabbitMQ Manager, and accessing the Django admin interface to verify the integration.