· ~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.
Back openDesk Edu for a sovereign, open-source education — every vote counts.
Vote nowSave products you love by clicking the heart icon.
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.
Architektur-Deep-Dive in einen produktionsreifen Observability-Stack mit Metriken, Logs und Traces – unter Verwendung von Open-Source-Tools, die von einer einzelnen VM bis hin zu einem Kubernetes-Cluster skalieren.
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.
Wie Google mit Rust Memory-Safety-Bugs in sicherheitskritischer Firmware reduziert
So implementieren Sie einen produktionsreifen, selbstgehosteten AI-Inference-Stack mit lokalen LLMs, einer ChatGPT-kompatiblen Benutzeroberfläche und einem vereinheitlichten API-Gateway für das Model-Routing.
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.