AI-powered monitor for research tasks, tracking multiple research streams, model experiments, and data collection processes in real-time
AI-powered monitor that tracks research tasks, ML experiments, data pipelines, and model training processes across multiple environments. Provides real-time alerts, automated analysis, and intelligent rollback recommendations.
Cross Monitor solves critical research workflow problems:
Real use cases:
Cross Monitor executes these specific commands:
cross-monitor start --config <config.yaml> --dashboard-port 9090
cross-monitor watch <target> --metrics <metrics.json> --threshold <thresholds.yaml>
cross-monitor alert --channel slack://<webhook> --severity high
cross-monitor compare --experiments <exp1,exp2,...> --metric <name> --window <hours>
cross-monitor rollback --experiment <id> --to-checkpoint <path_or_timestamp>
cross-monitor status --json --include-metrics
cross-monitor export --format csv/json --output <filepath>
cross-monitor daemon --config <config.yaml> --log-level DEBUG
cross-monitor test-connection <target> --type ssh/docker/k8s
cross-monitor validate-config <config.yaml>
cross-monitor list-experiments --status running/failed/completed
cross-monitor sync --from <source_env> --to <target_env>
cross-monitor notify --template <template.md> --to [email protected]
cross-monitor cleanup --older-than <days>
# Read config from priority locations:
# 1. ~/.config/cross-monitor/config.yaml (user overrides)
# 2. ./cross-monitor.yaml (project config)
# 3. Environment: CROSS_MONITOR_CONFIG
cross-monitor validate-config ./research-config.yaml
The configuration file structure: