Documentation

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

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

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

Documentation

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

const client = new relaycore.Client( auth: 'Bearer token', retry: true, timeout: 30000 );

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.