Tutorials

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

The core relaycore object is a lightweight wrapper that manages the lifecycle of your event stream.

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

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

Tutorials

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.

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

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