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obmp-docker/obmp-grafana/dashboards/Learning/learning_update_rate.json
sam 6621942032 Add Phase 2: Vue 3 control panel, 6 learning dashboards, new BGP scenarios 
- exabgp-ui/: Vue 3 + Vite SPA served by NGINX on :5001; proxies /api/ to
  ExaBGP Flask on :5050; includes StatusBar, ScenarioPanel, RouteTable,
  AnnounceForm, PeerStatus, ChurnControl components
- docker-compose.yml: add obmp-exabgp-ui service (host network, port 5001)
- exabgp/scenarios/__init__.py: add convergence_test, route_leak,
  hijack_simulation scenarios for structured BGP learning exercises
- exabgp/inject.py: add 'peers' and 'monitor' subcommands; live-refresh
  terminal status view with ANSI cursor repositioning
- obmp-grafana/dashboards/Learning/: 6 new OBMP-Learning dashboards
  (update rate, peer health, AS path, RPKI, churn, attributes)
- obmp-grafana/provisioning/dashboards/openbmp-dashboards.yml: add
  OpenBMP-Learning folder provider pointing to dashboards/Learning/
- DOCS.md: document Web UI, 3 new scenarios, 6 learning dashboards;
  fix section numbering (10-14) and architecture diagram (23 dashboards)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-03-05 15:37:16 -07:00

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{
"annotations": {"list": [{"builtIn": 1,"datasource": {"type": "datasource","uid": "grafana"},"enable": true,"hide": true,"iconColor": "rgba(0, 211, 255, 1)","name": "Annotations & Alerts","target": {"limit": 100,"matchAny": false,"tags": [],"type": "dashboard"},"type": "dashboard"}]},
"description": "BGP update and withdrawal rates over time. Teaches what normal BGP traffic looks like and how to detect route churn or instability.",
"editable": true,
"fiscalYearStartMonth": 0,
"graphTooltip": 1,
"id": null,
"links": [],
"panels": [
{
"datasource": {"type": "postgres","uid": "obmp_postgres"},
"description": "Learn: A healthy network has far more advertisements than withdrawals. A withdrawal spike often signals a link failure or route flap.",
"fieldConfig": {
"defaults": {
"color": {"mode": "palette-classic"},
"custom": {"drawStyle": "bars","fillOpacity": 60,"lineWidth": 1,"spanNulls": false,"stacking": {"group": "A","mode": "none"}},
"unit": "short"
},
"overrides": [
{"matcher": {"id": "byName","options": "Advertisements"},"properties": [{"id": "color","value": {"fixedColor": "green","mode": "fixed"}}]},
{"matcher": {"id": "byName","options": "Withdrawals"},"properties": [{"id": "color","value": {"fixedColor": "red","mode": "fixed"}}]}
]
},
"gridPos": {"h": 10,"w": 24,"x": 0,"y": 0},
"id": 1,
"options": {"legend": {"calcs": ["sum","max"],"displayMode": "list","placement": "bottom"},"tooltip": {"mode": "multi"}},
"targets": [
{
"datasource": {"type": "postgres","uid": "obmp_postgres"},
"format": "time_series",
"rawSql": "SELECT\n $__timeGroupAlias(timestamp,'5m'),\n SUM(CASE WHEN iswithdrawn = false THEN 1 ELSE 0 END) AS \"Advertisements\",\n SUM(CASE WHEN iswithdrawn = true THEN 1 ELSE 0 END) AS \"Withdrawals\"\nFROM ip_rib_log\nWHERE $__timeFilter(timestamp)\nGROUP BY 1\nORDER BY 1",
"refId": "A"
}
],
"title": "BGP Updates Over Time — Advertisements vs Withdrawals",
"type": "timeseries"
},
{
"datasource": {"type": "postgres","uid": "obmp_postgres"},
"fieldConfig": {"defaults": {"color": {"mode": "thresholds"},"thresholds": {"mode": "absolute","steps": [{"color": "green","value": null},{"color": "yellow","value": 100},{"color": "red","value": 1000}]},"unit": "short","mappings": []}},
"gridPos": {"h": 5,"w": 6,"x": 0,"y": 10},
"id": 2,
"options": {"colorMode": "background","graphMode": "area","justifyMode": "auto","orientation": "auto","reduceOptions": {"calcs": ["lastNotNull"],"fields": "","values": false},"text": {}},
"targets": [
{
"datasource": {"type": "postgres","uid": "obmp_postgres"},
"format": "time_series",
"rawSql": "SELECT NOW() AS time, COUNT(*) AS \"Total Updates (24h)\" FROM ip_rib_log WHERE timestamp > NOW() - INTERVAL '24 hours'",
"refId": "A"
}
],
"title": "Total Updates (24h)",
"type": "stat"
},
{
"datasource": {"type": "postgres","uid": "obmp_postgres"},
"description": "Learn: Withdrawal rate above 30% is unusual. Above 50% may indicate a route leak or oscillation event.",
"fieldConfig": {"defaults": {"color": {"mode": "thresholds"},"thresholds": {"mode": "absolute","steps": [{"color": "green","value": null},{"color": "yellow","value": 20},{"color": "red","value": 50}]},"unit": "percent","max": 100}},
"gridPos": {"h": 5,"w": 6,"x": 6,"y": 10},
"id": 3,
"options": {"colorMode": "background","graphMode": "none","justifyMode": "auto","orientation": "auto","reduceOptions": {"calcs": ["lastNotNull"],"fields": "","values": false},"text": {}},
"targets": [
{
"datasource": {"type": "postgres","uid": "obmp_postgres"},
"format": "time_series",
"rawSql": "SELECT NOW() AS time,\n ROUND(100.0 * SUM(CASE WHEN iswithdrawn THEN 1 ELSE 0 END) / NULLIF(COUNT(*),0), 1) AS \"Withdrawal Rate %\"\nFROM ip_rib_log\nWHERE timestamp > NOW() - INTERVAL '24 hours'",
"refId": "A"
}
],
"title": "Withdrawal Rate % (24h)",
"type": "stat"
},
{
"datasource": {"type": "postgres","uid": "obmp_postgres"},
"fieldConfig": {"defaults": {"color": {"mode": "thresholds"},"thresholds": {"mode": "absolute","steps": [{"color": "green","value": null},{"color": "yellow","value": 1000},{"color": "red","value": 10000}]},"unit": "short"}},
"gridPos": {"h": 5,"w": 6,"x": 12,"y": 10},
"id": 4,
"options": {"colorMode": "value","graphMode": "area","justifyMode": "auto","orientation": "auto","reduceOptions": {"calcs": ["lastNotNull"],"fields": "","values": false},"text": {}},
"targets": [
{
"datasource": {"type": "postgres","uid": "obmp_postgres"},
"format": "time_series",
"rawSql": "SELECT NOW() AS time, COUNT(DISTINCT peer_hash_id) AS \"Active Peers\" FROM ip_rib_log WHERE timestamp > NOW() - INTERVAL '1 hour'",
"refId": "A"
}
],
"title": "Active Reporting Peers (1h)",
"type": "stat"
},
{
"datasource": {"type": "postgres","uid": "obmp_postgres"},
"fieldConfig": {"defaults": {"color": {"mode": "thresholds"},"thresholds": {"mode": "absolute","steps": [{"color": "green","value": null},{"color": "yellow","value": 500},{"color": "red","value": 2000}]},"unit": "short"}},
"gridPos": {"h": 5,"w": 6,"x": 18,"y": 10},
"id": 5,
"options": {"colorMode": "value","graphMode": "none","justifyMode": "auto","orientation": "auto","reduceOptions": {"calcs": ["lastNotNull"],"fields": "","values": false},"text": {}},
"targets": [
{
"datasource": {"type": "postgres","uid": "obmp_postgres"},
"format": "time_series",
"rawSql": "SELECT NOW() AS time, COUNT(DISTINCT prefix) AS \"Unique Prefixes Updated (24h)\" FROM ip_rib_log WHERE timestamp > NOW() - INTERVAL '24 hours'",
"refId": "A"
}
],
"title": "Unique Prefixes Updated (24h)",
"type": "stat"
},
{
"datasource": {"type": "postgres","uid": "obmp_postgres"},
"description": "Updates per peer over time. Learn: Peers should have similar update rates. A peer with dramatically more updates may be experiencing instability or receiving a full BGP table with frequent changes.",
"fieldConfig": {
"defaults": {"color": {"mode": "palette-classic"},"custom": {"drawStyle": "line","fillOpacity": 10,"lineWidth": 1,"spanNulls": false},"unit": "short"}
},
"gridPos": {"h": 9,"w": 24,"x": 0,"y": 15},
"id": 6,
"options": {"legend": {"calcs": [],"displayMode": "list","placement": "right"},"tooltip": {"mode": "multi"}},
"targets": [
{
"datasource": {"type": "postgres","uid": "obmp_postgres"},
"format": "time_series",
"rawSql": "SELECT\n $__timeGroupAlias(s.interval_time,'30m'),\n COALESCE(p.name, p.peer_addr::text) AS metric,\n SUM(s.advertise_avg + s.withdraw_avg) AS \"Updates\"\nFROM stats_peer_update_counts s\nJOIN bgp_peers p ON p.hash_id = s.peer_hash_id\nWHERE $__timeFilter(s.interval_time)\nGROUP BY 1, 2\nORDER BY 1",
"refId": "A"
}
],
"title": "Update Rate by Peer (30-min buckets)",
"type": "timeseries"
}
],
"schemaVersion": 36,
"style": "dark",
"tags": ["obmp","learning","bgp","churn"],
"time": {"from": "now-24h","to": "now"},
"timepicker": {},
"timezone": "browser",
"title": "BGP Update Rate & Churn",
"uid": "obmp-learn-01",
"version": 1
}
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