Streaming

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.

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

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

Streaming

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);

The core forgeflow object is a lightweight wrapper that manages the lifecycle of your event stream.