n8n Docker Hosting — Containerized Workflow Automation

Our n8n Docker hosting ships with a carefully crafted Docker Compose configuration. The stack includes the official n8n Docker image, a PostgreSQL container for persistent workflow and execution storage, and an Nginx container as a reverse proxy handling SSL termination with Let's Encrypt certificates. All containers are connected via a Docker bridge network for secure inter-service communication.

The configuration uses Docker volumes for data persistence — your workflows, credentials, and execution history survive container restarts and image updates. PostgreSQL data is stored on a named volume backed by NVMe storage. n8n's local file storage (for binary data from workflow executions) uses a separate volume for clean separation of concerns.

Environment variables are organized in a .env file for easy customization: database credentials, n8n configuration, webhook URL, timezone, execution data pruning settings, and SMTP configuration for email notifications.

Updating n8n in a Docker deployment is straightforward: pull the new image, stop the current container, and start a new one with the same volumes and configuration. Your workflows, credentials, and execution history are stored in PostgreSQL on a persistent volume, so nothing is lost during the update process.

Our managed Docker hosting automates this process. We monitor n8n releases, test new versions against common workflow patterns, and apply updates during low-traffic windows. A pre-update backup ensures instant rollback capability if any issue is detected post-update. The entire process typically causes less than 30 seconds of downtime.

Docker containers provide process-level isolation. n8n runs in its own container with its own filesystem, network namespace, and process tree. Even if a vulnerability in n8n were exploited, the attacker would be contained within the Docker container, unable to access the host system or other containers without a container escape — a significantly higher bar than compromising a bare-metal installation.

We configure Docker with security best practices: containers run as non-root users, capabilities are dropped to the minimum required set, read-only filesystem where possible, and resource limits (CPU and memory) prevent any single container from consuming all server resources. AppArmor or SELinux profiles add mandatory access control on top of Docker's built-in isolation.

Network security is layered: containers communicate through an internal Docker network that's not exposed to the internet. Only Nginx's ports (80 and 443) are published to the host. n8n and PostgreSQL are completely inaccessible from outside the Docker network.

n8n supports a queue mode architecture where workflow executions are distributed across multiple worker processes via Redis. In Docker, this translates to a multi-container setup: one container runs the n8n main process (handling the UI and webhook reception), a Redis container manages the job queue, and multiple worker containers pull and execute workflow jobs.

This architecture scales horizontally — add more worker containers to increase execution throughput. On a server with 8 CPU cores, you might run 4-6 worker containers, each processing workflow executions independently. For burst workloads, you can temporarily increase the worker count and reduce it when the load subsides.

Our Docker Compose configuration for queue mode is production-tested and includes health checks, restart policies, proper dependency ordering, and resource limits per container. We can configure the optimal number of workers based on your server specifications and workflow characteristics.