Client

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

const batch = stream.pipe(filter((e) => e.type === 'payment'), batch(100), debounce(5000));

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

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

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