async-processing-patterns

What problem does it solve?

Async processing and message-driven architectures introduce complexity around reliability, idempotency, retries, and failure handling. This Skill helps you design safe async workflows for queue + worker systems, ensuring low data loss and predictable behavior.

Core Features & Use Cases

• Decision framework for when to use async vs synchronous processing in distributed systems.
• Guidelines for message schemas, idempotent consumers, and concurrency patterns.
• Retry strategies with exponential backoff, jitter, and DLQ handling across popular brokers (RabbitMQ, SQS, Kafka, Redis).
• DLQ design, visibility management, and observability considerations for production workloads.

Quick Start

Define a complete design for a new queue+worker system, including message schema, idempotency checks, exponential backoff retry policy, and DLQ strategy.