Client

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

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

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.

Client

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

const throttled = stream.throttle( rps: 100, burst: 200 ); const deduplicated = stream.dedup( key: 'event.id', window: 60000 );

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