Streaming

The TypeScript types are fully inferred; no manual type assertions needed even with complex nested schemas.

The TypeScript types are fully inferred; no manual type assertions needed even with complex nested schemas.

await stream.ack(event.id); const pipeline = stream.filter(e => e.amount > 100).map(e => ( ...e, fee: e.amount * 0.03 )).on('error', (err) => logger.error(err));

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

Streaming

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

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.