Reference

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 batch = stream.pipe(filter((e) => e.type === 'payment'), batch(100), debounce(5000));

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

Reference

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

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

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