Scale with multiple replicas
One container handles everything at first. As traffic grows, split HTTP serving from background processing so a slow AI job never competes with a page load.
How Quackback processes work
Every Quackback process reads QUACKBACK_ROLE to decide what it does. The default, all, serves HTTP and runs background workers in the same process. That's what the Docker and Railway guides deploy, and it's the right choice until you have a specific reason to split.
| Role | HTTP | Queue workers | Use for |
|---|---|---|---|
all (default) | Yes | Yes | Single-container deployments |
web | Yes | No (enqueues only) | Front-end replicas behind a load balancer |
worker | Yes (health probes only) | Yes | Dedicated background processing |
web replicas still serve HTTP but never claim queued jobs. They enqueue jobs and leave them for a worker to pick up. A deployment that only runs web replicas queues work that nothing ever processes.
Split web and worker replicas
Run the same image with different QUACKBACK_ROLE values:
# Web replicas: scale these behind your load balancer
docker run -d -e QUACKBACK_ROLE=web -e SKIP_MIGRATIONS=true -e DATABASE_URL=... -e SECRET_KEY=... -e BASE_URL=... ghcr.io/quackbackio/quackback:latest
# Worker replicas: one is enough for most workloads
docker run -d -e QUACKBACK_ROLE=worker -e SKIP_MIGRATIONS=true -e DATABASE_URL=... -e SECRET_KEY=... -e BASE_URL=... ghcr.io/quackbackio/quackback:latestRoute load-balancer traffic to web replicas only. worker replicas serve HTTP so their health probes work, but they don't need, and shouldn't receive, user traffic.
Background workers handle event delivery (webhooks, notifications, workflows), email sending and inbound polling, AI jobs (summaries, duplicate detection, extraction), analytics refreshes, workflow timers, and imports. Jobs live in a queue table in PostgreSQL, so running more than one worker replica is safe: each job and each scheduled sweep runs once.
Scale web replicas without a worker (or all) replica running somewhere, and webhooks, notifications, and workflows stop firing. Jobs queue up but nothing consumes them.
Requirements
Every replica, regardless of role, needs:
- The same
DATABASE_URL(shared PostgreSQL, which also holds the job queue) - The same
SECRET_KEY(sessions are database-backed, so any replica can serve any request) - The same S3-compatible storage and email settings
Sticky sessions aren't required. Realtime updates travel through PostgreSQL LISTEN/NOTIFY, so DATABASE_URL must be a direct or session-mode connection.
Run migrations once
With one replica, migrations run on startup. With several, set SKIP_MIGRATIONS=true on every replica so they don't race, and run migrations as a one-off container before you roll out a new image:
docker run --rm \
-e DATABASE_URL="postgresql://user:pass@host:5432/quackback" \
--entrypoint bun \
ghcr.io/quackbackio/quackback:latest \
/app/migrate.mjsThen roll the new image out to the web and worker replicas.
Health checks per role
Point your orchestrator's liveness probe at /api/health/live (process is up, no I/O) and readiness probe at /api/health/ready (database, migrations, and workers). A web replica doesn't run workers, so its readiness check reports workers.expected: false and still passes.
Next steps
- Docker Deployment - Base compose setup before you split roles
- Environment Variables - Full
QUACKBACK_ROLEand pool-sizing reference - Troubleshooting - Diagnose background jobs that aren't processing