Build resilient applications with robust message queuing and background job processing. Implement reliable message queues that ensure asynchronous task delivery even during failures, automatically route failed messages to dead letter queues for debugging and manual intervention, and use priority queues to process urgent tasks ahead of regular workload. Schedule delayed jobs for future execution to handle time-based operations, configure automatic retry logic with exponential backoff for transient failures, and scale processing with worker pools that handle multiple jobs in parallel. Monitor job execution with real-time dashboards showing queue depth, processing rates, and failure metrics, guarantee message ordering with FIFO queues for workflows requiring strict sequence, and implement pub/sub patterns to broadcast messages to multiple consumers simultaneously. Perfect for offloading background jobs without blocking HTTP requests, queuing email delivery for bulk sends and newsletters, processing image uploads with resizing and optimization, handling real-time event streams from user actions, scheduling recurring tasks and cron jobs, and processing incoming webhooks from third-party services.