Changelog

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

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

const stream = new RelayKit( apiKey: process.env.API_KEY, region: 'us-east-1' );

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

Changelog

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.

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

Each event flows through a series of transformation stages, with built-in support for filtering, mapping, and conditional routing.