Streaming

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.

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.

Streaming

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

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

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