PETRÉNYICONSULTING
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Services

Focused consulting for complex platform decisions.

Engagements bring architecture-level perspective close to delivery—so decisions remain useful when systems meet production constraints.

01

Architecture Advisory

For organizations facing consequential platform choices, fragmented architecture, or a modernization program that needs a coherent technical direction.

What the engagement includes

  • Current-state discovery and stakeholder alignment
  • Target architecture and transition states
  • Technology and vendor evaluation
  • Architecture decision records
  • Risk, dependency, and ownership analysis

Deliverables

Architecture narrative, system views, decision records, prioritized recommendations, and a practical transition plan.

Expected outcomes

Shared direction, explicit trade-offs, lower decision risk, and a plan delivery teams can execute.

Suitable formats

Architecture reviewTechnical discoveryDesign workshopFractional architecture support
02

Platform & Observability Engineering

For teams building or modernizing Kubernetes platforms, internal developer platforms, or telemetry systems that must perform reliably at enterprise scale.

What the engagement includes

  • Kubernetes and cloud platform design
  • GitOps operating model and delivery workflows
  • OpenTelemetry collection and routing
  • Metrics, logs, traces, and alerting architecture
  • Reliability, capacity, and operability review

Deliverables

Reference architecture, platform boundaries, telemetry topology, operational requirements, and implementation guidance.

Expected outcomes

A more operable platform, clearer ownership, useful telemetry, and safer paths for application teams.

Suitable formats

Platform assessmentObservability assessmentDesign workshopImplementation guidance
03

Applied AI for Engineering

For engineering organizations exploring agents and AI-assisted workflows without compromising governance, security, or maintainability.

What the engagement includes

  • Agent and tool architecture
  • Context engineering and knowledge boundaries
  • Workflow selection and evaluation criteria
  • Safe tool integration and permission models
  • Adoption guardrails and operating practices

Deliverables

Use-case assessment, target architecture, prototype plan, security boundaries, and adoption roadmap.

Expected outcomes

Focused investment, realistic controls, measurable workflows, and an architecture designed for responsible change.

Suitable formats

AI architecture reviewTechnical discoveryPrototype guidanceFractional architecture support
A tailored starting point

Not sure which engagement fits?

Start with the situation, constraints, and decision in front of you. The right format can follow.

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