Asynchronous Messaging with Message Brokers

Install and run a RabbitMQ instance locally using Docker.

Programmatically declare a RabbitMQ exchange and queue, and bind them to implement a pub/sub pattern using a Python client library.

Implement publishers and subscribers in Python that communicate via the configured RabbitMQ topology.

Configure the competing consumers pattern in RabbitMQ to enable parallel processing of messages from a single queue.

Implement a dead-letter queue (DLQ) mechanism to handle message processing failures gracefully.

Explain the architectural trade-offs between queue-based (e.g., RabbitMQ) and log-based (e.g., Kafka) message brokers.

Identify key metrics for monitoring message broker performance (e.g., queue depth, consumer lag) and diagnose common bottlenecks.