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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.

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

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

The core relayhub object is a lightweight wrapper that manages the lifecycle of your event stream.

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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));

Graceful shutdown waits for in-flight events to complete, then closes connections cleanly—no lost events, no crashes.