Documentation

Error handling is explicit: catch failures at any stage, log them, and route bad events to a dead-letter queue without stopping the main pipeline.

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));

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

Documentation

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

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

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