infrastructure monitoring

A practical, Bash-first playbook for keeping AI servers fast and reliable: why AI workloads need specialized checks, what healthy targets look like (CPU/mem, PSI, GPUs, disks, endpoints), and a drop-in ai-healthcheck.sh with env tunables plus systemd/cron wiring. Includes real-world usage (pre-flight, SLOs, K8s probes), troubleshooting, and next steps to catch heat, pressure, and I/O issues before 2 a.m. fires.

Pragmatic guide for Linux ops to cut toil with AI, using bash-first tools and human-in-the-loop safeguards. Install curl/jq/git/Podman via apt/dnf/zypper, wire an ai_chat helper to OpenAI or local Ollama, then ship four quick wins: nlsh (safe NL-to-shell), hourly log triage (systemd), AI Conventional Commits (git hook), and a runbook Q&A CLI, plus security tips and rollout best practices.