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

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

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.

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

stream.on('*.created', async (event) =>  await db.insert('events', event); ,  concurrency: 50 );

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