Executive Summary: Asynchronous message queues, dead-letter exchanges, event sourcing, and idempotent message processing in distributed environments.
Event-driven architecture decouples producers from consumers using message brokers, ensuring high fault tolerance during service spikes.
At-Least-Once Delivery: Consumers must be designed to be idempotent (processing the same message ID multiple times produces identical results).
Dead Letter Exchanges (DLX): Unprocessable messages (malformed JSON or database errors) are automatically moved to a DLX queue for developer inspection.
RabbitMQ: Ideal for complex routing rules, priority queues, and task worker queues.
Apache Kafka: Ideal for high-throughput streaming log telemetry and event replay logs.