Asynchronous Processing with Task Queues

Identify use cases for asynchronous tasks in a web application (e.g., sending emails, generating reports).

Describe the architecture of a task queue system: producer, broker, worker, and result backend.

Describe a message broker's core responsibilities, comparing RabbitMQ (AMQP) with Redis.

Explain the pub/sub pattern and how it enables event-driven architectures for service decoupling.

Explain idempotency and why it is critical for building reliable distributed operations.

Describe common retry strategies (e.g., exponential backoff) and the purpose of a dead-letter queue.

Set up Celery with Redis as a broker to offload a long-running task from a Django view.

Design a reliable background job that is idempotent and handles transient failures gracefully.