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Use case
Lean Python-only deployments
Ship distributed background work on small teams and small infra — 2–3 Python processes instead of a fleet of services.
Best for: Startups and small teams that want distributed tasks without operating broker infrastructure.
The problem
- A full Celery + Redis + Flower stack is a lot of surface area for a two-person team.
- Each extra service is another thing to deploy, patch, back up, and page on.
- Broker outages become your outages, even when your code is fine.
How FastWorker handles it
- 1 Deploy the control plane and one or two subworkers as ordinary Python processes.
- 2 Skip Redis, RabbitMQ, and a separate result backend entirely.
- 3 Grow into more workers later without changing your architecture.