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obmp-docker/obmp-grafana/dashboards/obmp/History-1002/learning_churn.json
sam 7e3370b5a5 Rework Grafana dashboard information architecture 
Reorganizes 31 dashboards into an operator-first structure with real
navigation. Adds Router Detail and Peer Detail drilldown dashboards; merges
LS Nodes+Links and the two L3VPN dashboards; modernizes all deprecated panels
(table-old/graph/worldmap). Every dashboard gets the obmp-nav dropdown so the
whole set is reachable from anywhere. Graduates the operational "Learning"
dashboards into Operations/Routing/LinkState folders, retires the Tops folder,
and relabels folders (Base->Operations, History->Routing, Learning->Reference).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-18 20:55:03 -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": "Prefix stability analysis and route churn visualization. Teaches how to identify unstable routes and understand BGP churn.",
"editable": true,
"fiscalYearStartMonth": 0,
"graphTooltip": 1,
"id": null,
"links": [
{
"asDropdown": true,
"icon": "external link",
"includeVars": true,
"keepTime": true,
"tags": [
"obmp-nav"
],
"title": "OBMP Dashboards",
"type": "dashboards"
}
],
"panels": [
{
"datasource": {
"type": "postgres",
"uid": "obmp_postgres"
},
"description": "Learn: This chart shows BGP advertisements and withdrawals bucketed per hour. A healthy network has steady low churn. Spikes in withdrawals indicate route instability events \u2014 link failures, IBGP reconvergence, or policy changes. Run 'inject.py churn' to generate synthetic churn data and observe it here.",
"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": 9,
"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,'1h'),\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": "Advertisements vs Withdrawals Rate (per hour)",
"type": "timeseries"
},
{
"datasource": {
"type": "postgres",
"uid": "obmp_postgres"
},
"description": "Learn: A prefix with more than 30 updates per day is considered unstable \u2014 it is flapping or being re-announced frequently. The Stability column categorizes each prefix. Run 'inject.py churn' to generate churn data and observe it here. Sort by 'Total Updates' to find the most problematic prefixes.",
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"custom": {
"align": "auto",
"displayMode": "auto"
},
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
}
]
}
},
"overrides": [
{
"matcher": {
"id": "byName",
"options": "Stability"
},
"properties": [
{
"id": "custom.displayMode",
"value": "color-text"
},
{
"id": "mappings",
"value": [
{
"options": {
"Very Stable": {
"color": "green",
"index": 0
},
"Stable": {
"color": "blue",
"index": 1
},
"Moderate": {
"color": "yellow",
"index": 2
},
"Unstable": {
"color": "red",
"index": 3
}
},
"type": "value"
}
]
}
]
},
{
"matcher": {
"id": "byName",
"options": "Total Updates"
},
"properties": [
{
"id": "custom.displayMode",
"value": "lcd-gauge"
},
{
"id": "color",
"value": {
"mode": "thresholds"
}
},
{
"id": "thresholds",
"value": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "yellow",
"value": 7
},
{
"color": "red",
"value": 30
}
]
}
}
]
}
]
},
"gridPos": {
"h": 12,
"w": 24,
"x": 0,
"y": 9
},
"id": 2,
"options": {
"footer": {
"fields": "",
"reducer": [
"sum"
],
"show": false
},
"showHeader": true,
"sortBy": [
{
"desc": true,
"displayName": "Total Updates"
}
]
},
"targets": [
{
"datasource": {
"type": "postgres",
"uid": "obmp_postgres"
},
"format": "table",
"rawSql": "SELECT\n prefix::text AS \"Prefix\",\n COUNT(*) AS \"Total Updates\",\n SUM(CASE WHEN iswithdrawn THEN 1 ELSE 0 END) AS \"Withdrawals\",\n SUM(CASE WHEN NOT iswithdrawn THEN 1 ELSE 0 END) AS \"Announcements\",\n MAX(timestamp) AS \"Last Change\",\n CASE\n WHEN COUNT(*) = 1 THEN 'Very Stable'\n WHEN COUNT(*) <= 7 THEN 'Stable'\n WHEN COUNT(*) <= 30 THEN 'Moderate'\n ELSE 'Unstable'\n END AS \"Stability\"\nFROM ip_rib_log\nWHERE $__timeFilter(timestamp)\nGROUP BY prefix\nORDER BY \"Total Updates\" DESC\nLIMIT 100",
"refId": "A"
}
],
"title": "Top Churning Prefixes",
"type": "table"
},
{
"datasource": {
"type": "postgres",
"uid": "obmp_postgres"
},
"description": "Learn: This bar chart shows how many prefixes fall into each stability tier. In a healthy network, the vast majority of prefixes should be 'Very Stable' (only announced once during the window). A large 'Unstable' bar is a red flag. Run 'inject.py churn' to shift prefixes into the Unstable tier.",
"fieldConfig": {
"defaults": {
"color": {
"mode": "fixed",
"fixedColor": "blue"
},
"custom": {
"fillOpacity": 80,
"lineWidth": 0
},
"unit": "short"
},
"overrides": [
{
"matcher": {
"id": "byName",
"options": "1. Very Stable (1 update)"
},
"properties": [
{
"id": "color",
"value": {
"fixedColor": "green",
"mode": "fixed"
}
}
]
},
{
"matcher": {
"id": "byName",
"options": "2. Stable (2-7 updates)"
},
"properties": [
{
"id": "color",
"value": {
"fixedColor": "blue",
"mode": "fixed"
}
}
]
},
{
"matcher": {
"id": "byName",
"options": "3. Moderate (8-30 updates)"
},
"properties": [
{
"id": "color",
"value": {
"fixedColor": "yellow",
"mode": "fixed"
}
}
]
},
{
"matcher": {
"id": "byName",
"options": "4. Unstable (31+ updates)"
},
"properties": [
{
"id": "color",
"value": {
"fixedColor": "red",
"mode": "fixed"
}
}
]
}
]
},
"gridPos": {
"h": 9,
"w": 14,
"x": 0,
"y": 21
},
"id": 3,
"options": {
"barRadius": 0.1,
"barWidth": 0.6,
"groupWidth": 0.7,
"legend": {
"displayMode": "list",
"placement": "bottom"
},
"orientation": "auto",
"text": {},
"tooltip": {
"mode": "single"
},
"xTickLabelRotation": 0,
"xTickLabelSpacing": 200
},
"targets": [
{
"datasource": {
"type": "postgres",
"uid": "obmp_postgres"
},
"format": "table",
"rawSql": "SELECT\n CASE\n WHEN cnt = 1 THEN '1. Very Stable (1 update)'\n WHEN cnt <= 7 THEN '2. Stable (2-7 updates)'\n WHEN cnt <= 30 THEN '3. Moderate (8-30 updates)'\n ELSE '4. Unstable (31+ updates)'\n END AS \"Stability Tier\",\n COUNT(*) AS \"Prefix Count\"\nFROM (\n SELECT prefix, COUNT(*) as cnt\n FROM ip_rib_log\n WHERE $__timeFilter(timestamp)\n GROUP BY prefix\n) sub\nGROUP BY 1\nORDER BY 1",
"refId": "A"
}
],
"title": "Prefix Distribution by Stability Tier",
"type": "barchart"
},
{
"datasource": {
"type": "postgres",
"uid": "obmp_postgres"
},
"description": "Learn: This is the single most churning prefix in the selected time range. If a prefix appears here repeatedly across time ranges, it may warrant investigation \u2014 check the AS path and peers announcing it.",
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "red",
"value": null
}
]
},
"unit": "string",
"mappings": []
}
},
"gridPos": {
"h": 5,
"w": 10,
"x": 14,
"y": 21
},
"id": 4,
"options": {
"colorMode": "background",
"graphMode": "none",
"justifyMode": "center",
"orientation": "auto",
"reduceOptions": {
"calcs": [
"lastNotNull"
],
"fields": "",
"values": false
},
"text": {
"titleSize": 14,
"valueSize": 18
}
},
"targets": [
{
"datasource": {
"type": "postgres",
"uid": "obmp_postgres"
},
"format": "time_series",
"rawSql": "SELECT NOW() AS time, prefix::text AS \"Most Churned Prefix\"\nFROM ip_rib_log\nWHERE $__timeFilter(timestamp)\nGROUP BY prefix\nORDER BY COUNT(*) DESC\nLIMIT 1",
"refId": "A"
}
],
"title": "Most Churned Prefix",
"type": "stat"
},
{
"datasource": {
"type": "postgres",
"uid": "obmp_postgres"
},
"description": "Learn: This counts how many distinct prefixes had at least one update event in the selected time window. During a normal steady state this number should be low. After a major routing event (e.g., upstream link failure) you may see thousands of prefixes change simultaneously.",
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "yellow",
"value": 500
},
{
"color": "red",
"value": 2000
}
]
},
"unit": "short",
"mappings": []
}
},
"gridPos": {
"h": 4,
"w": 10,
"x": 14,
"y": 26
},
"id": 5,
"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(DISTINCT prefix) AS \"Prefixes with Updates\"\nFROM ip_rib_log\nWHERE $__timeFilter(timestamp)",
"refId": "A"
}
],
"title": "Total Unique Prefixes with Updates",
"type": "stat"
}
],
"schemaVersion": 36,
"style": "dark",
"tags": [
"obmp",
"bgp",
"churn",
"stability",
"obmp-nav"
],
"time": {
"from": "now-24h",
"to": "now"
},
"timepicker": {},
"timezone": "browser",
"title": "Route Churn & Stability Score",
"uid": "obmp-learn-05",
"version": 1
}
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