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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.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.

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Authentication tokens are rotated silently in the background; your code never handles credentials directly.

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

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

See also

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