This example shows how to use Celery with Vercel Queues and Redis on Vercel with Serverless Functions using the Python Runtime.
https://vercel-plus-celery.labs.vercel.dev/
Celery uses a custom Vercel Queues broker to run tasks in a dedicated worker service. On Vercel, projects containing a Python worker service automatically set CELERY_BROKER_URL to vercel://, so Celery runs on top of Vercel Queues out of the box. Job status and results are stored in Redis, and a FastAPI dashboard lets you queue jobs, watch progress, and inspect results.
Your Celery application is now available at http://localhost:3000.
Deploy the example using Vercel:
