High-Tech experience,
multiplied by AI.

Open source as strategy

Open source is not an ideology here. It is a cost and control decision. The stack we run — Proxmox VE, Zabbix, Wazuh, Gitea, Proxmox Backup Server — is code we can audit, tune, and hand over. There is no per-seat pricing that compounds as you scale, and no vendor support ticket between your team and a fix.

When a proprietary tool is clearly the better call, we say so and show the math. Most of the time, the open-source option wins on capability and cost. The full TCO comparison is in the TCO guide →.

We do not sell open source as a religion. We use it where it gives you control, auditability, and a lower run rate — and we keep it operated well enough that your team can inherit it.

Full lifecycle ownership

Most DevOps engagements are fragmented. One team designs, another builds, a third operates, and a fourth gets paged at 3 a.m. When something breaks, everyone points at someone else, and the root cause sits in the gaps between handoffs. We do not work that way.

The same principal who draws the architecture writes the OpenTofu and Ansible, reviews the CI/CD pipeline, tunes the Zabbix alerts, and answers the incident page. Six stages — design, build, deploy, operate, support, improve — owned by one engineer. But ownership does not mean keeping you out of the loop. We design each workflow to be transferred, with runbooks, decision logs, and training so your team can run the routine while we keep responsibility for the architecture and the hard calls.

Self-improving operations

Infrastructure that is not maintained decays. Patches stack up, drift accumulates, runbooks rot, and the system that was clean at launch becomes a liability eighteen months in. We treat operations as a learning loop, not a keep-alive task.

Every incident, every RCA, every tuning decision is captured into a knowledge base that the agents read on the next cycle. The system is built on a few clear layers: a RAG-based search engine over the knowledge base, an agent orchestration layer that routes tasks, an agent platform that runs the tools, and A2A for agent-to-agent communication. It is not a demo. When an agent drafts a root-cause analysis, the principal reviews it, corrects it, and the correction becomes training signal. The next incident starts with a better-informed agent and a principal who spends their time on the decision, not on grep.

• Agents handle toil. Log triage, dependency scanning, draft runbooks, regression checks — the surface area that consumes senior hours without producing insight.
• The principal holds decisions. Ship, rollback, escalate, change the architecture — those calls stay human. AI proposes; the human disposes.
• Knowledge compounds. Every outcome is captured. The system that ran today is smarter than the one that ran last month, because it has read everything we learned in between.

Knowledge transfer

A boutique practice only works if knowledge does not stay locked in one head. We document what we build, why we built it that way, and what we would do differently — and we keep it in your knowledge base. BookStack and Gitea wikis hold the architecture decisions; the knowledge base holds the operational lessons. When we hand over a workflow, your team gets the runbooks, the reasoning, and the training to keep improving it — not a black box and a phone number.

This is also why we write publicly. Technical credibility comes from content, not marketing. The articles in Resources are not thought leadership — they are the same explanations we give in an engagement, written down so they can be checked.

Engagement model

We take on a small number of selected engagements at a time, because one principal can only own so many production systems honestly. The model is partner-first, not vendor-first. We are not trying to land an account and staff it out indefinitely. We are looking for infrastructure that matters and a client who wants mature workflows built, transferred, and maintained by their own team with our senior backing.

• Senior boutique practice — a single principal, accountable end to end
• Build to transfer — workflows, runbooks, and decision logs handed to your team
• Full lifecycle ownership — design through improve, no handoff gaps
• Open-source-first stack — with honest TCO modeling against proprietary
• AI-augmented delivery — agents on toil, human on decisions, knowledge captured in your KB
• Proactive risk and incident prevention — tuning for reliability before the page happens
• Partner-first — we succeed when your team owns the routine and the risks stay low
• EU-based, EU market access — Bulgarian-registered, operating across the EU

If that model fits the problem you have, the next step is a call. If it does not — if you need a staffing model or a traditional vendor relationship — we will say so, and point you at someone who does that well.