Deploy and scale n8n in production environments. Complete guides for queue mode setup, Docker Compose configurations, Coolify deployments, security hardening, performance optimization, and monitoring. Learn to self-host n8n reliably at scale on VPS platforms like DigitalOcean, Hetzner, and Hostinger. From beginner setup to advanced production patterns. The articles below cover the full lifecycle: choosing between single-mode and queue-mode, sizing PostgreSQL and Redis for your workflow volume, putting Traefik in front for TLS and routing, exposing Prometheus metrics for Grafana, and setting up backup + restore so you never lose an editor session. Where multiple options exist we benchmark them side-by-side, Docker Compose against Coolify, native Postgres against managed, Hetzner Cloud against DigitalOcean, with real cost figures. Every guide here is what we wish someone had handed us when we first migrated production workloads off n8n cloud. No vendor-marketing prose. Just config files, gotchas, and the trade-offs that actually matter at 10k+ monthly executions.
If you’re exploring the world of automation, you’ve likely heard of n8n. But when the term ‘n8n monitoring’ comes up, the picture can get a little blurry. Is it a built-in feature? Is it a standalone monitoring system? The simple answer is both yes and no, and this distinction is crucial for new users. Many…
n8n monitoring tools and integrations let you see workflow failures, queue lag and memory pressure before they snowball into outages. In the world of workflow automation, n8n offers unparalleled power and control. For more, see our guide on what n8n is. But with that power comes a critical responsibility: monitoring. For more, see our guide on…
n8n monitoring with Prometheus and Grafana turns workflow execution metrics into alerts and dashboards so failures never reach production unseen. Your critical n8n workflow fails silently in the middle of the night. How long does it take you to notice? An hour? A day? By then, the damage is done,customers are impacted, data is lost,…
Scaling n8n queue mode with Docker Compose separates the webhook, worker and main containers so you can run hundreds of workflows per minute without blocking. Your automations are humming along. Then a busy day hits: tests lag, webhook calls stack up, one CPU pegs at 100%, and everything feels slow. This isn’t just an inconvenience,it’s…