Cloud · AI · Security

Production-grade infrastructure, built by the engineer who runs it.

dataIO is the independent engineering practice of Kamil Herbik. I design, build and operate cloud platforms, AI infrastructure and security controls for blockchain, robotics & IoT, gaming and AI products, from the first Terraform module to the 3 a.m. incident.

Services

Three disciplines, one accountable engineer.

Most production problems cross these lines: a cost spike is a platform issue, a GPU issue and an access issue all at once. That is why they are one practice.

Cloud & Platform

Cloud foundations and Kubernetes platforms that teams can ship on every day without thinking about them.

  • AWS, Azure and OCI landing zones and multi-account setups
  • Kubernetes (EKS, OKE) builds, upgrades and region moves
  • Terraform / Terragrunt module libraries
  • GitOps with ArgoCD, build-once-promote CI/CD
  • Observability with Prometheus, Grafana, Loki, DataDog

AI Infrastructure

The unglamorous half of AI: getting models served, measured and paid for sensibly, on your hardware or in the cloud.

  • Self-hosted LLM serving across multi-GPU nodes
  • Speech and LLM analytics pipelines
  • AI code-review agents wired into CI (e.g. via Bedrock)
  • GPU scheduling, capacity planning and cost tuning
  • Benchmarks you can trust before buying hardware

Security & Resilience

Controls that hold up under audit and restores that are proven, not assumed.

  • Least-privilege IAM, SCPs and OIDC-based CI access
  • Private-key custody for validator and signing infrastructure
  • Backup & disaster-recovery design with rehearsed restores
  • Kubernetes admission policies and access reviews
  • Access-control test suites for application data

Industries

Where the work happens.

Different domains, same demand: systems that must keep running, and stay explainable, when something goes wrong.

01

Blockchain & Fintech

Validator networks, exchanges, trading and lending platforms, where uptime, key custody and audit trails are non-negotiable.

02

Robotics & IoT

Cloud backends and data platforms for connected devices, from the edge controller to the analytics cluster.

03

Gaming Platforms

Backends that scale with players and back down again, with costs that follow traffic instead of peak guesses.

04

AI Products

From a model that runs on one GPU box to a service with pipelines, monitoring and a budget.

How we work

Pick the engagement that fits the problem.

01 — Assess

Audit & assessment

A fixed-scope review of your cloud, DR posture or security controls. You get a written report of what is actually true, not what the docs say, with a prioritised plan.

Fixed scope · fixed price

02 — Build

Build & migrate

New infrastructure from scratch, an MVP platform in about a week, or a migration to the cloud or between regions. Everything is delivered as code with runbooks.

Project-based

03 — Embed

Embedded platform lead

Ongoing ownership of your platform alongside your developers: upgrades, incidents, reviews and the backlog nobody else has time for.

Monthly retainer

Why dataIO

Senior, hands-on, and on the hook for the result.

One accountable engineer

The person who designs your platform is the one who builds it and answers when it breaks. No hand-offs, no juniors learning on your production.

Everything as code

Terraform, GitOps and CI pipelines, reviewed like application code. If it can't be rebuilt from the repository, it isn't finished.

Evidence over assumptions

Decisions rest on measurements and live state, not on dashboards that look fine or documents that were true last year.

Knowledge stays with you

Runbooks, decision records and walkthroughs, so your team owns the platform long after the engagement ends.

Have a platform that has to work in production?

Tell me what you're running, what hurts and when you need it fixed. You'll get an honest answer, even if it's "you don't need me".