async-processing-patterns

Idempotent consumers prevent duplicate processing by validating message schemas and tracking processed states. This Skill helps you design consumers that safely handle retries and concurrency across RabbitMQ, SQS, Kafka, and Redis without reprocessing messages.

Exponential backoff with jitter spaces out retry attempts to avoid thundering herd problems. This Skill provides guidelines for implementing retry strategies alongside dead-letter queue handling for failed messages in queue-based worker systems.

Use async processing when you need to decouple producers and consumers for reliability and scalability. This Skill offers a decision framework to determine when queue-based asynchronous workflows are more appropriate than synchronous calls.

Visibility management ensures messages are not prematurely consumed by other workers during processing. This Skill covers visibility timeout configurations and observability considerations for monitoring reliable async queue and worker architectures.

These async processing patterns apply broadly across popular message brokers. The Skill covers safe asynchronous workflow design, retries, and dead-letter queues for RabbitMQ, SQS, Kafka, and Redis queue systems interchangeably.