Client

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

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.

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

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.

stream.on('*.created', async (event) =>  await db.insert('events', event); ,  concurrency: 50 );

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

See also