dashboard

Guide to building an AI-powered Linux monitoring dashboard: instrument hosts to collect CPU, memory, disk, network, and logs; stream and store metrics; apply machine learning for anomaly detection and forecasting; and visualize insights in a customizable UI. Covers tooling choices, setup steps, alerting/remediation, containerized deployment, and best practices for security, scalability, and tuning.