Deploy Enterprise n8n in 30 Minutes (Queue Mode + 3 Workers + Task Runners + Backups)

Want a REAL production-ready n8n deployment? In this video we break down the n8n-aiwithapex infrastructure stack and why it’s a massive upgrade over a “basic docker-compose n8n” setup.

You’ll see how this project implements a full queue-mode architecture with:

n8n-main (Editor/API) separated from execution
Redis as the queue broker
Multiple n8n workers for horizontal scaling
External task runners (isolated JS/Python execution) for safer Code node workloads
PostgreSQL persistence with tuning + initialization
ngrok for quick secure access in WSL2/local dev

We’ll also cover the “Ops” side that most tutorials ignore:

Comprehensive backups (Postgres + Redis + n8n exports + env backups)
Offsite sync + optional GPG encryption
Health checks, monitoring, queue depth, and log management scripts
Restore + disaster recovery testing so you can recover fast
Dual deployment paths: WSL2 for local + Coolify for cloud/production

If you’re building automations for clients, running n8n for a team, or scaling AI workflows, this architecture is the blueprint: separation of concerns, isolation, scaling, and recoverability.

Youtube video:

https://youtu.be/HzgrId0kgfw?si=0bzdvDgJW4dLApfi

Repo:

https://github.com/moshehbenavraham/n8n-aiwithapex

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