waveflow

Streaming

The TypeScript types are fully inferred; no manual type assertions needed even with complex nested schemas.

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.

const batch = stream.pipe(filter((e) => e.type === 'payment'), batch(100), debounce(5000));

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.

Streaming

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

const client = new waveflow.Client( auth: 'Bearer token', retry: true, timeout: 30000 );

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

See also

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