RabbitMQ Training Exercises

This repository contains hands-on exercises to learn RabbitMQ exchange types and messaging patterns.

Prerequisites

• Python 3.7+
• Docker or Podman

Setup

1. Create Python Virtual Environment

macOS/Linux:

python3 -m venv rabbitmq-env
source rabbitmq-env/bin/activate

Windows:

python -m venv rabbitmq-env
rabbitmq-env\Scripts\activate

2. Install Python Dependencies

pip install -r requirements.txt

3. Start RabbitMQ Container

Using Docker:

docker run -d --name rabbitmq \
  -p 5672:5672 \
  -p 15672:15672 \
  rabbitmq:3-management

Using Podman:

podman run -d --name rabbitmq \
  -p 5672:5672 \
  -p 15672:15672 \
  rabbitmq:3-management

4. Access RabbitMQ Management UI

Open http://localhost:15672 in your browser

• Username: guest
• Password: guest

Exercises

Exercise	Exchange Type	Concept
01-direct	Direct	Point-to-point messaging with routing keys
02-fanout	Fanout	Broadcast messaging to all queues
03-topic	Topic	Pattern-based routing with wildcards
04-headers	Headers	Attribute-based routing
05-default	Default	Direct exchange behavior
06-dead-letter	Direct + DLX	Dead letter exchange handling
07-ttl-non-durable	Direct	Message TTL and non-durable components
08-durability	Direct	Persistent vs non-persistent components
09-exchange-to-exchange	Fanout	Exchange-to-exchange binding for message duplication
10-shared-queues	Default	Shared queues for load balancing and work distribution
13-connection-pooling	N/A	Connection pooling and channels vs multiple connections
14-message-formats	N/A	Message formats and serialization with MessagePack
15-perf-test	N/A	Performance testing with official RabbitMQ PerfTest tool

Running Exercises

Each exercise folder contains:

• producer.py - Sends messages
• consumer.py - Receives messages
• README.md - Specific instructions

Navigate to each exercise folder and follow the README instructions.

Cleanup

# Stop and remove container
docker stop rabbitmq && docker rm rabbitmq
# or
podman stop rabbitmq && podman rm rabbitmq

# Deactivate virtual environment
deactivate