feat: Add Redpanda Console, Pulsar Distribution Service, and Grafana Dashboards
- Add Redpanda Console service (port 28080, Traefik integration) - Add Pulsar Distribution Service (Pulsar -> Brokers) - Create Grafana dashboards for Redpanda, Pulsar, and Smart City Ingestion - Configure Prometheus targets for Pulsar and Redpanda metrics - Fix FROST URL in distribution service - Create session resume for 2026-05-05
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103
grafana/provisioning/dashboards/smart-city-ingeston.json
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103
grafana/provisioning/dashboards/smart-city-ingeston.json
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{
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"annotations": {
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"list": [
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{
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"builtIn": 1,
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"datasource": "-- Grafana --",
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"enable": true,
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"hide": true,
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"name": "Annotations & Alerts",
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"type": "dashboard"
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}
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]
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},
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"editable": true,
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"fiscalYearStartMonth": 0,
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"graphTooltip": 0,
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"id": null,
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"links": [],
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"panels": [
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{
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"title": "Smart City Data Ingeston",
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"type": "row",
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"gridPos": {"h": 1, "w": 24, "x": 0, "y": 0}
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},
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{
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"title": "Messages/sec by Type",
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"type": "timeseries",
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"datasource": {"type": "influxdb", "uid": "InfluxDB-Simulator"},
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"targets": [
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{
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"query": "from(bucket: \"iot_data\") |> range(start: v.timeRangeStart, stop: v.timeRangeStop) |> filter(fn: (r) => r[\"_measurement\"] == \"sensor_data\") |> group(columns: [\"type\"]) |> count()",
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"refId": "A"
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}
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],
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"gridPos": {"h": 8, "w": 12, "x": 0, "y": 1}
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},
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{
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"title": "Temperature (Weather)",
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"type": "timeseries",
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"datasource": {"type": "influxdb", "uid": "InfluxDB-Simulator"},
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"targets": [
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{
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"query": "from(bucket: \"iot_data\") |> range(start: v.timeRangeStart, stop: v.timeRangeStop) |> filter(fn: (r) => r[\"_measurement\"] == \"sensor_data\" and r[\"type\"] == \"weather\") |> filter(fn: (r) => r[\"_field\"] == \"temperature_celsius\") |> mean()",
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"refId": "B"
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}
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],
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"gridPos": {"h": 8, "w": 12, "x": 12, "y": 1}
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},
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{
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"title": "Air Quality (PM2.5)",
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"type": "timeseries",
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"datasource": {"type": "influxdb", "uid": "InfluxDB-Simulator"},
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"targets": [
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{
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"query": "from(bucket: \"iot_data\") |> range(start: v.timeRangeStart, stop: v.timeRangeStop) |> filter(fn: (r) => r[\"_measurement\"] == \"sensor_data\" and r[\"type\"] == \"airquality\") |> filter(fn: (r) => r[\"_field\"] == \"pm25_ugm3\") |> mean()",
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"refId": "C"
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}
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],
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"gridPos": {"h": 8, "w": 12, "x": 0, "y": 9}
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},
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{
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"title": "Traffic Count",
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"type": "timeseries",
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"datasource": {"type": "influxdb", "uid": "InfluxDB-Simulator"},
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"targets": [
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{
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"query": "from(bucket: \"iot_data\") |> range(start: v.timeRangeStart, stop: v.timeRangeStop) |> filter(fn: (r) => r[\"_measurement\"] == \"sensor_data\" and r[\"type\"] == \"traffic\") |> filter(fn: (r) => r[\"_field\"] == \"vehicle_count\") |> mean()",
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"refId": "D"
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}
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],
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"gridPos": {"h": 8, "w": 12, "x": 12, "y": 9}
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},
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{
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"title": "Pulsar Message Rates",
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"type": "row",
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"gridPos": {"h": 1, "w": 24, "x": 0, "y": 17}
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},
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{
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"title": "Pulsar In/Out Bytes/sec",
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"type": "timeseries",
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"datasource": {"type": "prometheus", "uid": "prometheus"},
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"targets": [
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{
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"expr": "rate(pulsar_in_bytes_total[1m])",
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"legendFormat": "In Bytes/sec"
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},
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{
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"expr": "rate(pulsar_out_bytes_total[1m])",
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"legendFormat": "Out Bytes/sec"
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}
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],
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"gridPos": {"h": 8, "w": 24, "x": 0, "y": 18}
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}
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],
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"schemaVersion": 38,
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"style": "dark",
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"tags": ["smart-city", "influxdb", "pulsar"],
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"templating": {"list": []},
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"time": {"from": "now-1h", "to": "now"},
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"title": "Smart City - Data Ingeston",
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"uid": "smart-city-ingeston",
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"version": 1
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}
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