CyberFreezeDev
Loading
Self-hosted n8n on your server, with workflows, alerts, backups and upgrades looked after.
This page is about the engine. For the business process side, see AI workflow automation.
Self-hosted n8n keeps data on your server and avoids per-task fees, but someone has to run it. We cover the platform and the workflows.
n8n is a workflow automation tool you can host yourself. It is distributed under n8n's own Sustainable Use License, a fair-code licence that allows self-hosting for your internal business use. That matters for three reasons: your data passes through a server you control, you are not paying per task as volume grows, and when a visual node is not enough you can drop into JavaScript or Python inside the same workflow.
The catch is that someone has to run it. A self-hosted n8n instance needs a database, backups, an encryption key kept safe, TLS, updates and someone watching for failed executions. Many teams start n8n on a spare machine, build twenty workflows, and then cannot tell which ones still work.
An n8n engagement with us covers both halves: the platform and the workflows on it. The process design, deciding what to automate and where AI belongs, is covered on our AI workflow automation page.
Docker with PostgreSQL, HTTPS, an external encryption key, backups and queue mode when needed.
Docker deployment on a VPS or your cloud account with PostgreSQL, HTTPS, the encryption key stored outside the server, scheduled database backups and restricted admin access. Queue mode with Redis and separate workers when you have heavy or bursty workloads. See the n8n hosting docs for the moving parts.
WhatsApp, Google Workspace, Razorpay, Shopify, Tally and any system with an API.
We build integrations with WhatsApp Business API, Google Workspace, Razorpay, Shopify, Tally and LinkedIn Ads, and with any internal system that has an API or a database. Where no ready node exists we use the HTTP Request node, or write a custom node for something your team will reuse.
Classifying, extracting and drafting, with output validated against a schema before use.
Calls to Claude, GPT, Gemini or a self-hosted model for classifying, extracting and drafting, with output validated against a schema before the next node trusts it.
An error workflow alerts with the failing node, backed by retries and dead-letter sheets.
An error workflow, started by the Error Trigger node, that catches failed executions across the instance and sends an alert with the workflow name, the failing node and a link to the execution. Retries with backoff for flaky APIs, and dead-letter sheets for records that need a person.
Workflows kept in Git for review and rollback, tried on a test instance first.
Workflows exported to a Git repository so changes can be reviewed and rolled back, plus a test instance where changes are tried on sample data before they touch live records.
An audit of your current instance, listing failing workflows, shared credentials and upgrade risks.
If you already run n8n, we audit it: which workflows are active, which fail, which credentials are shared, and what breaks on the next upgrade. You get a written list and a fix plan.
| Question | n8n self-hosted | Zapier or Make |
|---|---|---|
| Where your data goes | Your server | The vendor's cloud |
| How cost grows | Server cost, roughly flat with volume | Per task or operation, grows with volume |
| Custom code | JavaScript and Python inside the workflow | Limited code steps |
| Who maintains it | You, or us on your behalf | The vendor |
| Best for | High volume, sensitive data, complex logic | Quick, low-volume connections with no server to run |
We still recommend Zapier or Make when volume is low and nobody wants to look after a server. Check each vendor's current pricing page for exact plans.
Systems and volume listed for new setups; every workflow reviewed for existing ones.
For a new setup, we list the systems to connect and the expected volume. For an existing one, we review every workflow and the server it runs on.
Server, database, backups, HTTPS, alerting and a test instance, all documented.
Server, database, backups, HTTPS, alerting and a test instance, documented so your team or another engineer can take it over.
Small single-purpose workflows sharing sub-workflows, tested on sample data first.
Small, single-purpose workflows that call shared sub-workflows, named consistently and commented, tested on sample data in the test instance first.
Switched on one at a time and watched while retries and limits are tuned.
Workflows are switched on one at a time with alerts running. We watch the execution log closely in the first weeks and tune retries and limits.
Tested upgrades, credential rotation, restore tests and changes as your tools change.
Optional ongoing care: n8n upgrades tested before they reach production, credential rotation, backup restore tests and changes as your tools change.
Described without client names, as agreed.
An approval workflow with AI routing, a WhatsApp CRM and a marketing dashboard, each with error workflows, Git exports and backups.
Each of these follows the platform practices described above: error workflows, Git exports, a test instance and backups.
The self-hosted Community Edition is free to use for your own internal business purposes under the Sustainable Use License; you pay for the server. n8n also sells a hosted cloud plan and enterprise features. Read the licence if you plan to offer n8n itself as a service to others.
Self-host if data must stay on your infrastructure, volume is high, or you need community nodes and custom code freely. Use n8n Cloud if you have no one to look after a server and volume is modest. We set up either.
Yes. We start with an audit, document what each workflow does, fix what is broken and then maintain it. Often we can simplify a sprawling set of workflows into fewer, clearer ones.
Yes, through Tally's XML interface over HTTP on the machine running TallyPrime, or through exports when that is not possible. We build integrations with Tally for posting vouchers and reading ledgers and stock items.
We upgrade the test instance first and run the main workflows there before touching production. The production database is backed up before every upgrade so we can roll back.
Last updated