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Practical guide for devs/admins to monitor ML model performance with lightweight Bash, covering prerequisites (Linux CLI, cron, metrics), setup for APIs or logs, scripts using curl+jq for JSON and tail/awk for CSV, automation via cron, and best practices on reliability, security, and efficiency, plus pointers to advanced stacks like Prometheus/Grafana and further learning resources.