Client

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

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

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));

The SDK provides both callback-based and Promise-based APIs, so you can use it with callbacks, async/await, or Observables.

Client

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);

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