Streamlining Data Simulation with ShadowTraffic

After working for quite some time in a mesh of deep complexities, I always find it refreshing to discover tools that simplify efforts without compromising effectiveness. One such gem I’m currently testing is ShadowTraffic.

A simple yet powerful tool for generating realistic streaming data—without the usual headaches.

Key Features:

✅ Declarative Data Generation – Define data structures that align with your business needs, and let ShadowTraffic handle the rest.

✅ Multiple Backends – Supports Kafka, S3, Postgres, and more, making it incredibly flexible.

✅ Containerized & Lightweight – Easy to deploy, integrates smoothly into existing workflows.

Currently, I’m using it to simulate production traffic into Kafka and validate data flows efficiently. The ease of setup and the structured approach to data generation make it a great addition to any data engineering toolkit.

Do you have a favorite tool for simulating streaming data?