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Educational materials, tutorials, and lecture notes on statistics, machine learning, and AI, plus conference talks and presentations. This includes fundamentals of AR, MR, and VR development (Machine Learning for data science, VR Fundamentals & WebXR Development, 3D Interaction Design, Performance Optimization), as well as research-based teaching on GenAI applications in Virtual Reality, eye tracking and bio sensors in immersive systems, and digital sovereignty and privacy-preserving technologies.
In the rush to adopt AI and cloud-native tools, fundamentals get overlooked. This article explains why Linux command-line fluency, container fundamentals, and infrastructure basics are the foundation for every modern DevOps and AI workload. AI generates code — it doesn't replace understanding.
Build a complete production infrastructure with open-source tools: PostgreSQL for data, Redis for caching, MinIO for S3-compatible storage, n8n for workflow automation, Prometheus and Grafana for observability - all behind a secure reverse proxy. All components work together in a cohesive architecture.
A deep dive into OSISM — the platform that orchestrates OpenStack, Ceph, and Kubernetes into a unified, sovereign private cloud. Covers architecture, components, and the full installation routine.
A hands-on guide to deploying SOGo 6 (the complete rewrite of the SOGo groupware suite) with Stalwart Mail Server and OpenLDAP authentication — all containerised with Docker Compose.
A complete learning path from absolute beginner to production-ready DevOps professional. Start with Linux fundamentals, progress through containers and Kubernetes, add observability and automation, and finish with AI infrastructure. All open-source, vendor-neutral, with mapped certifications and production-ready stacks.
Production patterns for managing secrets in GitOps workflows: Sealed Secrets, External Secrets Operator, SOPS, and HashiCorp Vault integration with ArgoCD.