Services / Cloud, deployment and operations

Cloud, deployment and operations

We deploy, monitor and run software with a bias for simple, ownable infrastructure: self-hosted where it reduces dependency, cloud and edge where they earn their keep. Backups, observability and CI/CD are part of the build, not an afterthought.

What you get

  • Deployments that are boring, repeatable and reversible
  • Monitoring that tells you before your users do
  • Backups proven by restoring, not by hoping
  • Infrastructure costs you can actually explain
Approach

How we run it

  1. Right-size the platform

    A well-run server with Docker and Dokploy often beats a cloud maze. We scale the setup to the product.

  2. Automate the path to production

    CI/CD, migrations and rollbacks are scripted so releases stay calm and repeatable.

  3. Watch the right signals

    Prometheus and Grafana track what matters: errors, latency, capacity and background jobs.

  4. Practice recovery

    Backups, restores and incident paths get rehearsed before they are ever needed.

Where AI fits

We also host AI privately: open models served with Ollama or vLLM, vector search with Qdrant and automation with n8n — all on infrastructure you control, for teams whose data cannot leave their network.

FAQ

Common questions

Is self-hosting risky compared to managed cloud?

Not when it is set up honestly: containerized apps, scripted deploys, monitoring and tested backups. Many products gain simpler bills, faster performance and full data ownership. Where managed services genuinely fit — DNS, edge, email delivery — we still use them.

Can you take over infrastructure someone else built?

Yes. We audit what exists, document it, stabilize the fragile parts and then improve it step by step — without a risky migration unless one is truly needed.

What does ongoing operations work look like?

Quiet, mostly. Updates, monitoring reviews, backup checks and performance passes on a steady rhythm, with a clear channel for incidents when something does break.