ShadowTraffic

ShadowTraffic is a containerized service for declaratively generating data, packed with knobs to perfectly mimic your production traffic to Kafka, S3, Postgres, and more. Together with StreamNative, teams can spin up realistic streaming workloads to develop, test, and benchmark Kafka and Pulsar pipelines without waiting on real production data.

Declarative Data Generation

ShadowTraffic lets developers describe the shape, volume, and behavior of data they need with a simple configuration — no custom producer code required:

• Configurable schemas for events, records, and relationships across topics and tables
• Tunable rates and patterns to model bursts, seasonality, and steady-state traffic
• Stateful generators that produce realistic sequences and referentially correct datasets

Native Connectors for Streaming and Storage

Generated data flows directly into the systems your pipelines already use:

• Kafka topics on StreamNative Cloud for end-to-end streaming workloads
• Postgres for change data capture and database-driven scenarios
• S3 for batch and lakehouse pipelines

Faster Pipeline Development

Pairing ShadowTraffic with StreamNative gives platform and application teams an on-demand source of production-like traffic so they can iterate on connectors, stream processing jobs, and downstream analytics without depending on live systems.