Recipes

Metrics are published to standard formats (Prometheus, CloudWatch, DataDog) with zero configuration.

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.

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

Metrics are published to standard formats (Prometheus, CloudWatch, DataDog) with zero configuration.

Recipes

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

stream.pipe(map(e => e.data), buffer(100, 5000), flatMap(batch => fetch('/api/bulk',  body: JSON.stringify(batch) ))).catch(console.error);

The core querykit object is a lightweight wrapper that manages the lifecycle of your event stream.