Jacarta Sentinel — facility behaviour monitor
A cloneable Sparse Sentinel app for Jacarta-enabled facilities. It sits above Jacarta interSeptor, PowerZook, and connected BMS/DCIM telemetry to detect behavioural drift early across cooling, power, leak, access, and room/rack conditions — before conventional thresholds and alarms fully escalate.
Jacarta facility monitoring above interSeptor, PowerZook, and facility telemetry — earlier warning for cooling, power, leak, access, and containment behaviour.
Jacarta-native facility Sentinel
Sentinel learns normal behaviour across Jacarta and related facility telemetry, then flags deviation early, ranks likely contributing signals, and helps operators decide where to inspect first. All monitor values shown here are rendered from published Sentinel backend results — the UI does not recalculate engine scores, lead times, or evidence weights.
What makes it different
- Behaviour-aware, not threshold-only
- Jacarta-native context across interSeptor, PowerZook, room, row, rack, cooling, leak, and access signals
- Evidence-led investigation, not alarm-only escalation
- Physical channel trust shown separately from derived engine diagnostics
- Operational impact linked to uptime, capacity, energy, and carbon context
- Protected Sparse runtime for scoring, governance, and receipt generation
Jacarta facility telemetry status
Need the cabinet-specific view? Open CAB01/CAB02 temperature results rendered from the live cabinet Sentinel output.
Feed quality
Sentinel detection timing vs static thresholds
Sentinel backend output by Jacarta fault class for the current evaluation window. Detection timing is shown relative to the analysis segment origin. Lead versus static threshold is shown where a threshold crossing exists for that class.
Threshold vs Sentinel comparison
Trajectory by fault class
Sentinel tracks whether each fault class is stable, slowly degrading, degrading, or structurally unstable across the evaluation window. This supports inspection prioritisation but is not a confirmed equipment diagnosis.