Question 1

What is a Helm chart for n8n on Kubernetes?

Accepted Answer

A Helm chart is a Kubernetes package manager template. It defines how to deploy n8n: container images, database configuration, ingress rules, persistent volumes, environment variables, and resource limits. Instead of writing 50+ YAML files manually, you use Helm to render a single values.yaml file into a working Kubernetes deployment. n8n provides an official Helm chart, but you still need to understand Kubernetes concepts like StatefulSets, Services, and PersistentVolumeClaims to configure it correctly.

Question 2

How long does it take to set up n8n on Kubernetes with Helm?

Accepted Answer

For experienced DevOps engineers with existing Kubernetes infrastructure: 2-4 hours. For teams new to Kubernetes: 1-2 weeks of learning + debugging. The main steps are: provision a cluster (1-2 hours), install Helm (10 minutes), deploy the n8n chart (30 minutes), configure PostgreSQL (1 hour), set up ingress and TLS (1-2 hours), and test workflows (30 minutes). Opsily does all of this for you in 2 minutes, then handles backups, scaling, and updates automatically.

Question 3

Do I need PostgreSQL for n8n on Kubernetes?

Accepted Answer

Yes. n8n requires a PostgreSQL database to store workflows, credentials, and execution history. On Kubernetes, you can use a managed database (AWS RDS, GCP CloudSQL, Azure Database for PostgreSQL) or deploy Postgres as a container in your cluster. Managed databases are more reliable and easier to backup, but cost EUR 30-60/month. Deploying Postgres in Kubernetes is cheaper but requires understanding persistent volumes, backups, and disaster recovery. Opsily includes a fully managed PostgreSQL instance in every plan.

Question 4

What about GDPR when running n8n on Kubernetes?

Accepted Answer

GDPR compliance depends on where your Kubernetes cluster runs and how you manage data. If you deploy in an EU region (eu-central-1 in AWS, europe-west1 in GCP), your data stays in the EU. But you are still responsible for backup retention policies, data deletion procedures, and compliance audits. Opsily is GDPR-compliant by default: German infrastructure, automated compliance reports, built-in backup management, and no US data transfer. For regulated industries or EU-based teams, Opsily removes the compliance burden.

Question 5

Can I scale n8n workflows across multiple pods in Kubernetes?

Accepted Answer

Yes. Kubernetes allows you to run multiple n8n pods behind a load balancer. By default, the Helm chart deploys a single n8n instance, but you can scale it to 3, 5, or 10 replicas. Workflows are distributed across pods using the built-in queue (which writes to PostgreSQL). For this to work, all pods must share the same database and have consistent environment variables. However, scaling Kubernetes requires configuring horizontal pod autoscaling, monitoring CPU/memory, and tuning queue performance. Opsily autoscales workflows automatically without configuration.

Question 6

How much does it cost to run n8n on Kubernetes per month?

Accepted Answer

Infrastructure costs: EUR 50-250/month (cluster compute + storage + managed database). No additional cost if you already have a Kubernetes cluster running other services. But add 20+ hours of monthly DevOps labor to maintain it. If your DevOps engineer costs EUR 50/hour, that is EUR 1,000/month in labor. Total cost of ownership: EUR 1,050-1,250/month in year 1, then EUR 50-250/month if you stop hiring. Opsily costs EUR 20-100/month flat, with zero infrastructure and labor overhead. For small teams, Opsily pays for itself in 10 months.

Question 7

What happens if my Kubernetes cluster goes down?

Accepted Answer

All running workflows stop. If the outage lasts hours, you lose execution history and credentials become inaccessible. Recovery depends on your backup strategy: if you backed up your cluster and database, you can restore to a fresh cluster (4-8 hours of work). If you did not backup, you have to reconfigure n8n from scratch. Opsily prevents this: we replicate your data across multiple availability zones, maintain daily encrypted backups, and automatically failover if one zone fails. Your workflows keep running during infrastructure failures.

Question 8

Why would I choose self-hosted Kubernetes over Opsily?

Accepted Answer

Choose Kubernetes if: (1) you already have a Kubernetes cluster running other apps and adding n8n is a small increment; (2) you have a dedicated DevOps team who enjoys infrastructure work; (3) you have strict compliance requirements that only on-premises or hybrid deployment satisfies; (4) you need custom infrastructure like GPU nodes or specific regions Opsily does not offer. For everyone else, Opsily trades control for simplicity. You lose the ability to heavily customize Kubernetes config, but you gain 20 hours per month of your engineer's time back.

n8n Kubernetes Helm : complexité DIY vs. hébergement en un clic

Pourquoi les équipes abandonnent Kubernetes pour Opsily

Pas de templating Helm

Plus de 20 heures de travail opérationnel en moins

Conformité RGPD native

Built for teams who need reliability

n8n auto-hébergé sur Kubernetes : le fardeau complet

Choose Your App

Provisionner le cluster Kubernetes

Déployer le chart Helm + base de données

Sauvegardes, monitoring, mise à l'échelle

Maintenir indéfiniment

Kubernetes auto-hébergé vs. Opsily : Analyse des coûts et du temps

Quand Kubernetes a du sens

Quand Opsily gagne

coût annuel de main-d'œuvre économisé avec l'hébergement managé

Kubernetes auto-hébergé vs. Opsily

Tarification Opsily : transparente et fixe

Confiance et conformité intégrées

GDPR Compliant

Daily Encrypted Backups

99.9% Uptime SLA

Open Source Code

Isolated Infrastructure

Questions sur n8n sur Kubernetes

Ce que disent nos clients

Évitez la complexité de Kubernetes.