upstash-workflow

You orchestrate asynchronous batch processing by implementing a 3-layer architecture: an entry point triggers pagination, which then triggers single-item execution. This approach uses QStash to handle fan-out, splitting large batches into smaller chunks for reliable parallel processing.

The best way to test async workflows without actual execution is using dry-run mode. This mode provides statistics and insights into your batch processing pipelines without performing actual operations, allowing you to validate your orchestration safely.

Yes, you need a QSTASH_TOKEN to authenticate and trigger workflows. You must also configure an APP_URL endpoint, with QSTASH_URL as an optional override, to properly route and execute your asynchronous tasks across the 3-layer architecture.

The fan-out pattern splits large batches into smaller chunks for parallel processing. Each workflow run processes exactly one item through the single task execution layer, ensuring scalable and resilient pipelines for large-scale asynchronous tasks like data transformation.

Yes, you can process large batches incrementally by utilizing the pagination layer within the 3-layer architecture. This layer handles chunking and filtering, enabling scalable end-to-end orchestration for complex pipelines and incremental data updates.