Changelog

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.

The SDK provides both callback-based and Promise-based APIs, so you can use it with callbacks, async/await, or Observables.

stream.pipe(map(e => e.data), buffer(100, 5000), flatMap(batch => fetch('/api/bulk',  body: JSON.stringify(batch) ))).catch(console.error);

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

Changelog

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

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

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