## Summary Deploy a cloud-free NVR stack for the GableCam (ReoLink Elite Floodlight at 192.168.1.159): - **Mosquitto** — shared MQTT broker in `mqtt` namespace (cluster-internal, no auth) - **Ntfy** — self-hosted push notifications in `ntfy` namespace, exposed at `ntfy.tail8d86e.ts.net` / `ntfy.ops.eblu.me` - **Frigate** — NVR with GableCam via HTTP-FLV, ONNX CPU detection, NFS recordings on sifaka, exposed at `nvr.tail8d86e.ts.net` / `nvr.ops.eblu.me` - **frigate-notify** — bridges Frigate detection events (person, car, dog, cat) to Ntfy alerts via MQTT Also includes: - Prometheus scrape target for Frigate metrics - Grafana dashboard for Frigate (status, inference speed, FPS, CPU/memory, storage) - Caddy reverse proxy entries for `nvr.ops.eblu.me` and `ntfy.ops.eblu.me` ## Prerequisites - [ ] Create NFS share `frigate` on sifaka (`/volume1/frigate`, RW for indri) - [ ] Create 1Password item "Reolink Floodlight Camera" in `blumeops` vault with `username` and `password` fields ## Deployment (after merge) ```bash argocd app sync apps argocd app sync mosquitto argocd app sync ntfy argocd app sync frigate argocd app sync grafana-config argocd app sync prometheus mise run provision-indri -- --tags caddy mise run services-check ``` ## Verification - [ ] Mosquitto pod running, accepting connections on 1883 - [ ] Ntfy web UI accessible at `ntfy.ops.eblu.me` - [ ] Frigate web UI at `nvr.ops.eblu.me` showing GableCam live feed - [ ] Object detection working (ONNX, person/car/dog/cat) - [ ] Recordings appearing in NFS share on sifaka - [ ] frigate-notify sending detection alerts to Ntfy - [ ] Prometheus scraping Frigate metrics - [ ] Grafana dashboard showing Frigate data Reviewed-on: https://forge.ops.eblu.me/eblume/blumeops/pulls/190
490 lines
15 KiB
YAML
490 lines
15 KiB
YAML
apiVersion: v1
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kind: ConfigMap
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metadata:
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name: grafana-dashboard-frigate
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namespace: monitoring
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labels:
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grafana_dashboard: "1"
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data:
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frigate.json: |
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{
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}
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],
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"title": "Frigate Status",
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{ "color": "yellow", "value": 15 },
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{ "color": "red", "value": 30 }
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]
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"title": "Detector Inference",
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{ "color": "red", "value": 10 }
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"refId": "A"
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}
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],
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"title": "Camera FPS",
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{
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{
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"datasource": { "type": "prometheus", "uid": "prometheus" },
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"expr": "frigate_detection_total_fps",
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"refId": "A"
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}
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],
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"title": "Detection FPS",
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"type": "stat"
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},
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{
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"datasource": {
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"type": "prometheus",
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},
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"gridPos": { "h": 8, "w": 12, "x": 0, "y": 4 },
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"id": 5,
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"options": {
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"legend": {
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"calcs": ["mean", "max"],
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{
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}
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],
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"axisColorMode": "text",
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"barAlignment": 0,
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"id": 8,
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"options": {
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"calcs": ["lastNotNull"],
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"placement": "bottom",
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{
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"expr": "frigate_storage_used_bytes",
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"legendFormat": "{{storage}}",
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"refId": "A"
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],
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"type": "timeseries"
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}
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],
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"to": "now"
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"timepicker": {},
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"timezone": "",
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"title": "Frigate NVR",
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"version": 1,
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"weekStart": ""
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}
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