Recipes

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

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

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

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

Recipes

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

await stream.on('user.created', async (event) =>  console.log(event.data.email); );

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