Streaming

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

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));

The SDK provides both callback-based and Promise-based APIs, so you can use it with callbacks, async/await, or Observables.

Streaming

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.

stream.pipe(retry( maxAttempts: 3, backoff: 'exponential' ), timeout(30000)).subscribe(console.log);

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