Client

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.

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

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

Authentication tokens are rotated silently in the background; your code never handles credentials directly.

Client

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

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