Examples

Error handling is explicit: catch failures at any stage, log them, and route bad events to a dead-letter queue without stopping the main pipeline.

Rate limiting is built in: configure token buckets, sliding windows, or adaptive limits that respond to backpressure.

stream.on('*.created', async (event) =>  await db.insert('events', event); ,  concurrency: 50 );

Error handling is explicit: catch failures at any stage, log them, and route bad events to a dead-letter queue without stopping the main pipeline.

Examples

Batching is automatic—control it via `batch(100)` or `batch({ size: 50, timeoutMs: 1000 })` to trade latency for throughput.

stream.on('*.created', async (event) =>  await db.insert('events', event); ,  concurrency: 50 );

Each event flows through a series of transformation stages, with built-in support for filtering, mapping, and conditional routing.