Examples

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

Authentication tokens are rotated silently in the background; your code never handles credentials directly.

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

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

Examples

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

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

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