n8n Kubernetes Helm: DIY complexity vs. one-click hosting
Kubernetes gives you power. Helm gives you flexibility. But both demand DevOps expertise, database management, SSL provisioning, backups, and 20+ hours of monthly maintenance. Opsily handles all of it for you. Deploy n8n in 2 minutes instead of 2 hours.
Why teams abandon Kubernetes for Opsily
You know how to run Kubernetes. The question is: should you?
No Helm templating
Kubernetes and Helm require understanding ConfigMaps, Persistent Volumes, NetworkPolicies, and YAML syntax. One typo breaks production. Opsily abstracts all of it: click deploy, workflow runs. No YAML, no debugging manifests, no cluster knowledge required.
20+ hours of ops work vanishes
Self-hosted Kubernetes demands: cluster patching, etcd backups, node scaling, certificate rotation, database maintenance, monitoring setup, incident response, and version upgrades. Opsily does this automatically. Your team focuses on workflows, not infrastructure.
GDPR compliance out of the box
Running Kubernetes in Germany or EU? Still your responsibility to audit. Opsily runs on German infrastructure, meets GDPR by default, and provides compliance reports. Zapier is US-only. n8n Cloud is optional. Opsily is the European standard.
Built for teams who need reliability
Self-hosted n8n on Kubernetes: the full burden
Here is what you own when you choose Kubernetes with Helm.
Choose Your App
Select an app to get started.
Provision Kubernetes cluster
AWS EKS (EUR 0.10/hour + compute), GCP GKE (EUR 0.15/hour + compute), or Azure AKS (similar). Add VPC, subnets, security groups, IAM roles. Budget: EUR 50-150/month for a dev/staging cluster.
Deploy Helm chart + database
Add n8n Helm repo, write values.yaml, configure PostgreSQL (RDS, CloudSQL, or managed Postgres). Set up ingress, TLS certificates, persistent volumes for logs and queue. First deploy: 2-4 hours if you know Kubernetes. If not: 10+ hours debugging.
Backups, monitoring, scaling
Configure PostgreSQL backups (daily snapshots), Prometheus monitoring, cluster autoscaling policies. Set up alerts for pod crashes, high CPU, disk full. Add log aggregation (CloudWatch, Datadog, or open-source ELK). Labor: 5-10 hours.
Maintain forever
Monthly patching of Kubernetes, etcd updates, container image rebuilds, dependency upgrades, certificate rotation before expiry. Incident response when the database runs out of disk space at 3 AM. Annual cost: EUR 600-3,600 in labor. Opsily: EUR 0 labor. You just pay EUR 20-100/month.
Self-hosted Kubernetes vs. Opsily: A cost and time breakdown
n8n is free and open source. Running it costs money.
A small Kubernetes cluster on AWS costs EUR 50-150/month just for compute. Add a managed database (RDS Postgres): EUR 30-60/month. Monitoring, logging, backups: EUR 20-40/month. Now you are at EUR 100-250/month in infrastructure.
But infrastructure cost is a rounding error compared to labor.
Kubernetes requires DevOps knowledge. If you have a dedicated infrastructure engineer, they are costing you EUR 4,000-6,000/month in salary. Even if they spend 20% of their time on n8n maintenance, that is EUR 800-1,200/month in labor.
Opsily costs EUR 20-100/month flat. It includes the cluster, database, backups, monitoring, scaling, SSL, security updates, and 24/7 support. No labor required.
If your DevOps engineer has better things to do--building new features, scaling your product, moving the business forward--then Opsily is not a cost. It is an investment in faster delivery.
When Kubernetes makes sense
You are already running Kubernetes for other services (React app, API, worker queues). You have a DevOps team. Adding n8n to your existing cluster is a rational choice.
You need custom infrastructure (GPU nodes, specific regions, hybrid cloud). Opsily cannot offer that.
Your compliance policy requires on-premises deployment. You must run your own infrastructure.
When Opsily wins
You do not have a DevOps team. Starting Kubernetes from scratch is a 10-week detour.
You need n8n running today, not in 2 weeks.
Your team is tired of on-call incidents and wants to focus on automation workflows, not infrastructure.
You need GDPR compliance and prefer not to manage German infrastructure yourself.
Your budget is tight and every euro matters. A EUR 100/month SaaS bill beats EUR 2,000/month in ops overhead.
annual labor cost saved with managed hosting
Based on 20 hours/month DevOps work at EUR 10/hour. Actual costs vary with team size and incident frequency.
See all pricingSelf-hosted Kubernetes vs. Opsily
Opsily pricing: transparent and flat
No hidden cluster costs. No surprise database bills. Pay once per month. GDPR-compliant German hosting included in every plan.
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Trust and compliance built in
Every Opsily plan includes enterprise-grade security and compliance.
GDPR Compliant
German data centers. EU data residency. Compliance reports on demand. No US infrastructure.
Daily Encrypted Backups
Automated backups every 24 hours. 30-day retention. Point-in-time restore available.
99.9% Uptime SLA
Guaranteed availability with automatic failover and redundancy across zones.
Open Source Code
40K+ GitHub stars. Transparent, auditable codebase. Full community oversight.
Isolated Infrastructure
Each app runs in its own container with dedicated resources. No noisy neighbor issues.
Questions about n8n on Kubernetes
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.
Skip the Kubernetes complexity.
Deploy n8n in 2 minutes. No infrastructure setup. No DevOps required. Full GDPR compliance.