background-jobs

Background jobs are coordinated by decoupling producers from workers using queues and scheduled cron jobs. This approach applies reliable async processing, event-driven workflows, and routing by task type to ensure safe execution across distributed systems.

Failed async queue jobs are handled safely using dead-letter queues and exponential backoff retries. This approach isolates unrecoverable messages while gradually increasing retry intervals to prevent cascading failures across distributed workers.

Durable Objects can optionally coordinate complex stateful async workflows across distributed systems. This provides stateful consistency for multi-service architectures, though it should be used cautiously to avoid unnecessary complexity in background job processing.

Fire-and-forget queues for webhook notifications are set up by creating a queue-backed worker to process background tasks. Deploying these workers starts handling jobs asynchronously, decoupling expensive operations like exports and webhooks from the main application flow.

Scheduled cron jobs are used for periodic maintenance, data aggregation, and cleanup tasks rather than event-driven task queues. Cron jobs handle time-based execution, while queues manage asynchronous processing triggered by specific application events.

At-least-once delivery for background job consumers is ensured by designing idempotent consumers with clear routing by task type. This pattern safely handles duplicate message processing across distributed workers without corrupting application state.