Problem

Manual video generation pipelines are slow, fragile, and hard to scale across processing, storage, and delivery.

Constraints

• Handle long-running media work without blocking request/response paths.
• Keep processing services separable from orchestration and storage concerns.

What I built

A production-oriented video automation platform with queue-driven orchestration and media-processing boundaries.

Architecture

Hub-based orchestration with queue-driven jobs, service separation, and cloud-integrated processing steps.

Decisions and trade-offs

• Used queue-driven jobs for media processing and delivery steps.
• Separated hub orchestration from FFmpeg processing boundaries.
• Kept cloud storage and service communication explicit in the architecture.

Outcome

A production-oriented automation architecture for repeatable short-form video generation workflows.

Repository context

The implementation is private; the public case study documents architecture and engineering trade-offs.