Consulting for Unix-based infrastructure, renewable energy and complex IT technologies

We help design, integrate and optimize robust systems across IT, energy and automation — from low-level infrastructure to real-world operation.

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Unix/Linux-based Systems

Design and operation of stable, maintainable infrastructure. Focus on simplicity, transparency and long-term reliability.

  • Design of lean, Unix-based system architectures
  • Setup and maintenance of Linux servers and services
  • Automation using shell scripting and lightweight tooling
  • Logging, monitoring and fault analysis
  • Secure system configuration and network segmentation
  • Reliable operation in resource-constrained environments
  • Integration with external services and data sources
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Smart Building Integration

Planning and integration of different technologies (e.g. KNX, Modbus, LoRaWAN) for reliable automation and monitoring.

  • Integration of heterogeneous building systems into one platform
  • Design of robust KNX and smart building architectures
  • Bridging fieldbus systems (e.g. Modbus) with IP-based systems
  • Implementation of automations with clear logic and traceability
  • Long-term maintainable system structures (no vendor lock-in focus)
  • Remote access, visualization and control concepts
  • Troubleshooting and optimization of existing installations
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Renewable Energy Systems

Integration of heat pumps, PV systems and energy monitoring into coherent, efficient setups.

  • System-level integration of PV, heat pumps and storage
  • Optimization of self-consumption and load distribution
  • Measurement and evaluation of energy flows
  • Interface integration (e.g. Modbus, APIs) for energy devices
  • Coordination between electrical systems and IT infrastructure
  • Design of scalable monitoring for energy systems
  • Identification of inefficiencies and improvement potential
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Measurement & Observability

Acquisition, visualization and analysis of system data for informed decisions and continuous improvement.

  • Design of structured data acquisition pipelines
  • Integration of sensors (environmental, energy, system metrics)
  • Time-series data storage and visualization (e.g. dashboards)
  • Correlation of data across systems (IT, energy, environment)
  • Detection of anomalies and long-term trends
  • Data-based optimization of system behavior
  • Transparent and reproducible measurement setups
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If you are planning or improving a system and need a clear and reliable approach, feel free to reach out.

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