Vercel Daemons now in public beta
Vercel Daemons is now available in public beta, enabling you to run long-running background processes that pull work from queues, databases, or third-party systems without needing an HTTP server. Daemons run on Fluid compute instances alongside your app, with automatic container management, regional scaling, and built-in observability.
is now in public beta, allowing you to run long-running processes that pull and execute work from , databases, or third-party systems without requiring an HTTP server:Vercel DaemonsVercel Queues
Daemons run containers on Fluid compute and deploy alongside your app in the same project. Vercel builds your image and maintains the instance count you configure in each region, restarting instances that exit or crash.
Get started by packaging your application and dependencies in a Dockerfile or Containerfile, then adding a entry to one configuration file at your project root. This example uses to run one Celery worker in (Washington, D.C.):daemonsworker/Dockerfileiad1
Set any connection details your worker needs in your project's production environment variables, then deploy to production. Vercel starts the configured instances, and their output appears in your project's . CPU and memory metrics are available with .LogsObservability Plus
Learn more in the .Vercel Daemons documentation
Consumers using , Celery, BullMQ, RabbitMQ, or Kafka.Vercel Queues poll mode
Temporal or Cadence workers that long-poll their task queues.
Self-hosted CI runners for GitHub Actions, GitLab, or CircleCI that poll for jobs without requiring inbound connections.
Source: original entry ↗
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