Streaming

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.

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

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 stream = new RelayKit( apiKey: process.env.API_KEY, region: 'us-east-1' );

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