edgecore

Recipes

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

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' );

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

Recipes

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 );

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

See also

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