Client

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

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.

Client

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

const stream = new RelayKit( apiKey: process.env.API_KEY, region: 'us-east-1' );

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

See also

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