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The Infrastructure Philosophy
I prioritize high availability, data sovereignty, and edge-computing efficiency. My systems are architected to be environment-agnostic, moving seamlessly between localized edge hardware and distributed cloud GPU clusters.
// Orchestration & Routing
A deep dive into the self-hosted environment that powers my automation agents.
- VIRTUALIZATIONDocker & Docker Compose for containerized microservices isolation.
- SECURITYCloudflare Zero Trust tunneling and WAF rules to secure internal API endpoints.
- COMPUTEHigh-performance Hetzner dedicated instances paired with RunPod for GPU-intensive AI inference.
// Agentic Runtime Environments
How I host and manage multi-agent systems.
- STATEFUL LOGICUtilizing LangGraph and CrewAI for stateful agentic workflows, managed via specialized Python-based backend containers.
- QUEUE PROCESSINGImplementing Redis and n8n (Queue Mode) to handle asynchronous tasks and high-throughput data processing without system degradation.
// Hardware & Edge Integration
COMPUTE CLUSTERS
AMD EPYC™ and Intel® Xeon® clusters.
EDGE NODES
Custom Raspberry Pi nodes for localized IoT and automation tasks.
DIAGNOSTICS
OBD2 (Vgate iCar Pro) integration for automotive telemetry and monitoring experiments.