· ~2 min read
Nagios Production Monitoring: Setup, Configuration and Best Practices
Practical guide to setting up Nagios Core for production infrastructure monitoring with alerting, plugins, and distributed monitoring.
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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.
Practical guide to setting up Nagios Core for production infrastructure monitoring with alerting, plugins, and distributed monitoring.
Architecture deep-dive into a production-ready observability stack with metrics, logs, and traces — using open-source tools that scale from a single VM to a Kubernetes cluster.
How to deploy a production-grade self-hosted AI inference stack with local LLMs, a ChatGPT-compatible interface, and a unified API gateway for model routing.
How to deploy a production-grade reverse proxy with automatic SSL certificate management, WAF/IPS protection via CrowdSec, and proper security hardening.
Head-to-head K8s evaluation of Stalwart v0.16.6 and Dovecot 2.4 CE. Benchmark data on IMAP performance, FTS speed, memory usage, and HA capabilities for large multi-tenant deployments.
Graph-based retrieval, structured reasoning, and hierarchical context selection can slash token consumption by 60-80% compared to naive RAG. A practical breakdown of where graphs win and how to implement them.
Comprehensive analysis of flat-rate LLM API subscriptions under $20/month, exposing that major providers don't offer official flat-rate plans while third-party services dominate the budget market. Data from 15+ sources including official docs, Reddit/forums, and blog reviews.
Discover how Docker enables efficient multi-model AI workload management with GPU acceleration and automatic scaling.
Strategic trends shaping enterprise AI infrastructure in 2026 and beyond, focusing on digital sovereignty, regulatory compliance, and sustainable self-hosted AI deployments.
Comprehensive financial analysis comparing self-hosted AI infrastructure with SaaS solutions. Real-world TCO models, ROI calculations, and decision framework for enterprise AI deployment.
Comparing the five major approaches to building agentic AI workflows — when to use monolithic frameworks, multi-agent orchestration, or the emerging LLM router pattern for autonomous tool selection.
Why MS365 exit strategies must be developed in parallel with implementation, not as an afterthought. Digital sovereignty requires exit-by-design principles from day one.
Warum Exit-Strategien für Microsoft 365 parallel zur Einführung entwickelt werden müssen. Lock-in-Fallen, technische Maßnahmen, Open-Source-Alternativen und Governance für digitale Souveränität in Organisationen jeder Größe.
Microsoft's DELEGATE-52 benchmark proves frontier models corrupt documents beyond 20 interactions. One week later, Google confirmed criminals used AI for a real zero-day exploit. The two findings describe the same gap from opposite ends.
A split architecture for local AI. MiniMax M2.7 extracts signals, PyMC produces calibrated posterior distributions. No cloud dependency, no API keys in production.
How an attacker chained pull_request_target cache poisoning with GitHub Actions memory extraction to publish 84 malicious npm packages — and what you must audit in your own CI/CD pipeline.
Run 3 specialised LLMs on a single DGX Spark in under 2 minutes with 100+ tok/s throughput. Production orchestration patterns revealed.
Hermes Agent combines OpenClaw's multi-channel presence with a closed learning loop for self-improving AI automation. Here's how to migrate and what to expect.
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