Recipes

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

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

const client = new forgeflow.Client( auth: 'Bearer token', retry: true, timeout: 30000 );

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

Recipes

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

const client = new forgeflow.Client( auth: 'Bearer token', retry: true, timeout: 30000 );

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

See also

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