upstash-workflow

You orchestrate fan-out processing by using QStash to coordinate a three-layer pattern: process, paginate, and execute. This approach splits large batches into smaller chunks for parallel processing, improving throughput and reliability across multiple layers.

Yes, you can trigger the workflow in dry-run mode to gather statistics without triggering actual execution. This validates your setup and ensures your process, paginate, and execute layers are configured correctly before running the full pipeline.

You execute business logic for one item per run using the single task execution pattern. This provides per-item guarantees within a multi-layer flow, ensuring isolated processing for each entry in your batch data processing or event-driven automation pipeline.

You need APP_URL and QSTASH_TOKEN environment variables to trigger Upstash workflows. These credentials allow QStash to reliably coordinate the asynchronous fan-out processing across your application layers.

You use QStash pagination when handling large-batch scenarios that require chunking and filtering before per-item execution. Pagination prevents overwhelming downstream services by splitting data into manageable pages for reliable asynchronous processing.

Yes, Upstash Workflow supports filtering and chunking data before single-item execution. The three-layer pattern applies filtering to select items, chunks them for parallel fan-out processing, and then executes per-item safeguards to ensure reliable task completion.