Recipes
Metrics are published to standard formats (Prometheus, CloudWatch, DataDog) with zero configuration.
Authentication tokens are rotated silently in the background; your code never handles credentials directly.
const client = new wavekit.Client( auth: 'Bearer token', retry: true, timeout: 30000 );
Each event flows through a series of transformation stages, with built-in support for filtering, mapping, and conditional routing.
Recipes
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.on('*.created', async (event) => await db.insert('events', event); , concurrency: 50 );
Batching is automatic—control it via `batch(100)` or `batch({ size: 50, timeoutMs: 1000 })` to trade latency for throughput.