waveflow

Recipes

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

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

stream.on('*.created', async (event) =>  await db.insert('events', event); ,  concurrency: 50 );

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

Recipes

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

const result = await stream.request('POST', '/transform',  data: payload ,  timeout: 5000 );

Each event flows through a series of transformation stages, with built-in support for filtering, mapping, and conditional routing.

See also