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

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

const throttled = stream.throttle( rps: 100, burst: 200 ); const deduplicated = stream.dedup( key: 'event.id', window: 60000 );

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

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

await stream.ack(event.id); const pipeline = stream.filter(e => e.amount > 100).map(e => ( ...e, fee: e.amount * 0.03 )).on('error', (err) => logger.error(err));

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