A model nobody watches is a hobby. Put a dashboard on it and it is infrastructure. Once private AI serves more than just you, you need to see it. - A real dashboard answers five questions: which models are live and where, memory per model, request volume and slowdowns, fleet health, and what the logs said before the failure. - The assembled route: Grafana for graphs, Uptime Kuma for uptime, Portainer for containers. Costs time, not money. You own every piece. - The bundled route: a console SaaS that ships the dashboard with the deployment. For teams whose job is not infrastructure. - One question decides: is running servers your team's job or a distraction from it? PrivateLLM deploy handles the whole thing: private LLM on AWS, $50 setup plus usage, monitored and documented.