cloudflare-workflows-for-long-tasks

Background tasks using ctx.waitUntil() fail because they are not durable and cannot survive past the Worker execution limit. Migrating to Cloudflare Workflows replaces this unreliable post-response execution with durable steps that persist and recover automatically.

To migrate a long-running task to Cloudflare Workflows, you convert the job into a WorkflowEntrypoint implementation using durable steps. This involves configuring step retries, ensuring serializable state handling, and applying idempotent persistence for reliable execution.

Yes, Cloudflare Workflows support slow API calls, AI inference, file processing, and multi-step orchestration. They provide observable progress and automatic recovery for these long-running scenarios without hitting the 30-second execution limit.

The best way to handle state and retries in a Cloudflare Workflow is by using WorkflowEntrypoint patterns. This requires designing idempotent steps, managing serializable outputs, and configuring specific retry and failure handling logic for production reliability.

The limitation of using ctx.waitUntil() for multi-step orchestration is its lack of durability, causing tasks to fail if they exceed the 30-second limit. It does not support observable progress, automatic recovery, or persisted execution state for complex jobs.

Yes, migrating to Cloudflare Workflows requires production migration cleanup procedures to remove orphaned database records. This ensures that idempotent persistence and durable execution state remain consistent after replacing waitUntil jobs.