TECHPERFORMANCE
Solution · n8n automation

Your critical workflows, out of the SaaS that bills you every month.
Self-hosted n8n, costs decoupled from executions.

Zapier and Make work until the volume explodes. Production-grade managed self-hosted n8n: Git versioning, real staging, audit, worker-based scaling. Same team, flat fee.

Talk to an architect See the stack
The problem

When automation becomes core, SaaS is not enough anymore.

01
// anti-pattern · automation

A Zapier or Make line item on the invoice every month, with tiers that explode.

They work great at the start. Then the first important client arrives, executions climb, the next tier kicks in, and the automation costs more than the software it automates.

02
// anti-pattern · automation

Critical workflows on ex-employee personal accounts.

That billing job, that lead routing, that inventory sync — running for a year on the login of someone who no longer works here. Nobody remembers until it breaks.

03
// anti-pattern · automation

No audit, no versioning, no staging environment.

You change the critical workflow in production and hope for the best. When something goes wrong there is no structured log, just "it worked last night".

How we run it

n8n operated like any mission-critical service.

Self-hosted n8n is a good starting point, not a destination. We run it with queues, workers, persistence, backups, monitoring and audit — the same standards we apply to the rest of the stack. You think about the workflow, we keep the infrastructure up.

  • →Same team from single site to HA cluster.
  • →1h intervention with an SRE, not a dispatcher.
  • →Infrastructure entirely in the EU.
stack · n8n production-grade
workflow as code
  • Production-grade self-hosted n8n
    dedicated instance, isolated container, SSO access, managed roles and ACL
  • Scalable workers + Redis queue
    parallel executions, retry policy, deterministic ordering for critical jobs
  • PostgreSQL for workflow state + MongoDB for payloads
    structured data separated from semi-structured payloads, real queries on behaviour
  • Gitea for definition versioning
    workflow JSON committed, pull requests, pre-production review, native git rollback
  • Vaultwarden for shared secrets
    credentials out of the workflows, scheduled expiry, access audit log
  • Grafana + Loki for audit and execution
    time per workflow, success rate, payload logs, dashboards for the team
Expected results

Continuity, predictable cost, real control.

What you get moving from SaaS to managed self-hosted n8n is not a marginal saving, it is a change of operating model.

flat fee

automation cost decoupled from the number of executions — you stop paying "per zap"

real staging

every new workflow tested on staging that talks to the real systems before it goes to production

continuity

no critical workflow tied to a single account or a single employee — everything in the repo

Reference setup

Mid-market agency repatriating from Zapier.

A marketing agency with a dozen recurring clients, each with its own lead routing, CRM sync and report generation flows. Zapier cost climbing, accounts spread across three employees, no versioning. Goal: one n8n instance, single repo, centralised audit log.

Talk to an architect about your case
Reference setup
Documented, anonymised
Agency · 10+ clients
3 → 1
accounts → repo
flat fee
vs per-execution
git PR
pre-production review

In six weeks: every workflow migrated, staging operational, centralised audit log. Automation cost made predictable, operational continuity guaranteed.

Typical setup, not a specific customer case study. The figures are consistent with the pattern observed.

FAQ

The questions COOs, IT managers and operations teams ask us.

If yours is different, write to us: we reply within the day.

Can you migrate my existing Zapier/Make scenarios?
Mostly, yes. n8n has native integrations with almost every common SaaS (Google, Microsoft, HubSpot, Slack, Stripe, Shopify, etc.) and for edge cases a small custom node is written. Typical migration: we audit the existing workflows, prioritise the critical ones, recreate them in n8n with parallel staging, then switch off Zapier/Make in phases.
How "production-grade" is it, really?
For us production-grade means five things: external queueing (Redis), scalable workers separated from the editor, robust persistence (PostgreSQL), daily backups of states, and monitoring per workflow. It is not "n8n installed in a container and done": it is a setup operated like any other mission-critical service.
Can I integrate LLMs and AI into my workflows?
Yes, and here the advantage is double. You can use cloud LLMs (OpenAI, Anthropic) for non-sensitive workflows, or point to an on-premise LLM instance (Ollama + open-weight models) that we run in the same datacenter — useful for workflows that touch sensitive data. n8n talks to both without code differences.
What happens when the n8n instance crashes at midnight?
Same model as our other mission-critical services: multi-channel alerting, SRE on call, intervention within 1 hour during business hours. The workers are redundant, the Redis queues persist — a crash of the editor does not lose your states. The difference from SaaS is that here you call a person, you do not open a ticket.
Free audit

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