Overview

Maestro is a general‑purpose workflow orchestrator that delivers a fully managed workflow‑as‑a‑service for data platforms. It powers thousands of internal Netflix users—data scientists, engineers, ML engineers, content producers, and analysts—by scheduling hundreds of thousands of workflows and executing millions of jobs each day while honoring strict service‑level objectives.

Capabilities & Deployment

The platform is built on Java 21 and runs via Gradle, with optional Docker images for AWS or Kubernetes environments. Users interact through a REST API to create, start, monitor, and delete workflows, as demonstrated by the sample curl commands. Maestro’s architecture is highly scalable and extensible, allowing new use cases to be added without disrupting existing pipelines. It maintains performance even during traffic spikes, making it suitable for large‑scale ETL, ML pipelines, and content processing workloads.