Clarity over complexity
Make constraints, trade-offs, and ownership explicit so important decisions can be understood and acted on.
About
Architecture grounded in operational reality.
Independent senior counsel for technology leaders navigating consequential platform decisions, modernization, and complex delivery environments.
Mihály Petrényi · Founder
Senior perspective, kept close to delivery.
I help enterprise teams turn fragmented technology landscapes into coherent decisions and systems they can operate with confidence.
My work sits between enterprise architecture and hands-on engineering. That includes Kubernetes and cloud platforms, observability across metrics, logs, traces and alerting, the OpenTelemetry ecosystem, GitOps, reliability, and AI-enabled engineering workflows.
This breadth matters because platform decisions never exist in isolation. They shape security, ownership, developer experience, operating cost, and the options an organization retains later. I connect those concerns early, write down the important trade-offs, and translate direction into guardrails delivery teams can use.
Good architecture makes the important trade-offs visible—and gives delivery teams a system they can actually own.
Working principles
A disciplined way to make progress.
Architecture earns trust through the quality of its decisions, the reality of its constraints, and what teams can do with it afterward.
Operational reality
Design for the teams, failure modes, and day-two responsibilities that determine whether architecture succeeds.
Deliberate simplicity
Use the least complicated system that meets the real requirement and preserves sensible options for change.
Knowledge transfer
Leave teams with the context, records, and confidence to evolve the system without permanent dependency.
Expertise
Connected expertise for complex systems.
Select an area to see the capabilities brought into architecture reviews, platform programmes, and focused advisory engagements.
Enterprise ArchitectureTurn complex constraints into clear target states, decisions, and an executable path forward.
Architecture assessments, target-state design, decision records, modernization roadmaps, governance models, and stakeholder alignment.
Platform EngineeringDesign internal platforms that reduce cognitive load without hiding operational reality.
Developer platforms, paved roads, self-service workflows, GitOps delivery models, platform APIs, and operational ownership boundaries.
Kubernetes & CloudModernize infrastructure with deliberate boundaries, secure defaults, and sustainable operations.
Kubernetes platform architecture, cloud landing zones, multi-cluster strategy, workload identity, networking, storage, and migration planning.
Observability & OpenTelemetryBuild a vendor-neutral signal architecture that makes production systems understandable.
OpenTelemetry strategy, metrics, logs and traces, collection architecture, scalable backends, alerting design, dashboards, and operational adoption.
AI-Enabled EngineeringApply agents and context engineering where they create practical, governed leverage.
AI-assisted software delivery, agent workflows, context engineering, retrieval-augmented systems, guardrails, evaluation, and enterprise adoption patterns.
Reliability & DeliveryConnect GitOps, developer experience, and reliability practices to improve delivery confidence.
Delivery architecture, CI/CD, reliability models, operational readiness, release governance, incident learning, and measurable engineering outcomes.
Technologies
Technology choices in service of the operating model.
Tooling is evaluated in context: team capability, integration boundaries, security, lifecycle cost, and the level of operational control the organization needs.
- Kubernetes
- Azure
- Cloud-native platforms
- OpenTelemetry
- Grafana
- Prometheus
- Loki
- Tempo
- GitOps
- CI/CD
- AI agents
- Context engineering
A useful first conversation
Bring the decision that needs more clarity.
We can start with the context, constraints, and consequences—no finished brief required.