Summary

While retrying in case of failure is a no-brainer, exponential backoff with jitter can serve as the core retry strategy to handle failures gracefully. The mathematical progression retry_delay = initial_delay * multiplier^retry_count scales retry intervals exponentially, while jitter randomization prevents thundering herd problems when multiple jobs fail simultaneously. The design emphasizes separation of concerns between transactional job status tracking and operational failure handling through dedicated dead letter queues (DLQ). This architecture enables better failure pattern analysis and batch reprocessing capabilities. Key design principles include configurable retry parameters per job type, error classification for informed retry decisions, and circuit breaker patterns to prevent cascading failures in downstream services.