Tutorials

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

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

Tutorials

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

const result = await stream.request('POST', '/transform',  data: payload ,  timeout: 5000 );

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