Streaming
Rate limiting is built in: configure token buckets, sliding windows, or adaptive limits that respond to backpressure.
Each event flows through a series of transformation stages, with built-in support for filtering, mapping, and conditional routing.
const stream = new RelayKit( apiKey: process.env.API_KEY, region: 'us-east-1' );
Batching is automatic—control it via `batch(100)` or `batch({ size: 50, timeoutMs: 1000 })` to trade latency for throughput.
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.
stream.on('*.created', async (event) => await db.insert('events', event); , concurrency: 50 );
The SDK provides both callback-based and Promise-based APIs, so you can use it with callbacks, async/await, or Observables.