What people build with FastWorker.
FastWorker is designed for Python-only stacks that need real distributed background work — without deploying Redis, RabbitMQ, or a separate result backend. Here are the patterns it fits best.
FastAPI background jobs
Offload email, webhooks, PDF generation, and third-party calls out of the request path with an async client built for FastAPI.
Best for: Teams shipping FastAPI APIs that need to move slow work off the request/response cycle.
Read the use case →Priority-aware job processing
Route urgent work ahead of bulk work with four built-in priority levels and least-loaded dispatch — no custom routing rules.
Best for: Applications where some jobs (user-facing, time-sensitive) must jump ahead of batch work.
Read the use case →Observable worker fleets
Trace a task end to end with OpenTelemetry and watch your fleet in real time — without bolting on a separate monitoring stack.
Best for: Teams that need production observability into background work but do not want another dashboard service.
Read the 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.
Read the use case →Not sure it fits your scale?
FastWorker targets roughly 1K–10K tasks/minute across 1–50 workers on Python-only stacks. If you need extreme fan-out or a polyglot fleet, compare it honestly against the alternatives.