llm-fleet.json already owns LLM capacity+spec-decode. These three cover the domains that had NO dashboard: - host-system: node_exporter CPU/Load/Mem/Disk/Net/Uptime/FS/FDs for both Dankclaw and Dankserver (templated by job node-dankclaw|node-dankserver) - logs-overview: Loki volume + per-container error rate + a sample log panel; container is parsed from the JSON line at query time (journal streams have no container_name stream label) - observability: the stack's own health - Prometheus target up/down + scrape interval drift + samples/s + TSDB, Loki ingest/discard, Grafana CPU/mem. Panel queries verified live against Prometheus/Loki; provisioned dashboards confirmed via /api/search. Alertmanager is running but NOT scraped by Prometheus - noted in the dashboard, no empty panels built on it.
97 lines
5.9 KiB
JSON
97 lines
5.9 KiB
JSON
{
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"uid": "observability",
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"title": "Observability \u2014 self-monitoring",
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"description": "The health of the stack that watches the fleet: Prometheus scrape/TSDB, Loki ingest, Grafana. If this is red the dashboards lie. Note: Alertmanager is running but NOT scraped by Prometheus (no job) \u2014 its metrics are absent by design gap, not fault.",
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"tags": ["observability", "meta"],
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"timezone": "browser",
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"schemaVersion": 39,
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"refresh": "30s",
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"time": { "from": "now-6h", "to": "now" },
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"panels": [
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{
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"id": 1, "type": "stat", "title": "Targets up",
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"gridPos": { "h": 4, "w": 4, "x": 0, "y": 0 },
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"datasource": { "type": "prometheus", "uid": "prometheus" },
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"fieldConfig": { "defaults": { "unit": "short", "thresholds": { "mode": "absolute", "steps": [{ "color": "green", "value": null }] } }, "overrides": [] },
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"targets": [{ "expr": "count(up == 1)", "instant": true, "refId": "A" }]
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},
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{
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"id": 2, "type": "stat", "title": "Targets down",
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"description": "Known structural downs: comfyui (no metrics endpoint), gitea (metrics off), and the homepage 'services' probes. Real regressions ride up from here too \u2014 check the table before dismissing.",
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"gridPos": { "h": 4, "w": 4, "x": 4, "y": 0 },
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"datasource": { "type": "prometheus", "uid": "prometheus" },
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"fieldConfig": { "defaults": { "unit": "short", "thresholds": { "mode": "absolute", "steps": [{ "color": "green", "value": null }, { "color": "red", "value": 1 }] } }, "overrides": [] },
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"targets": [{ "expr": "count(up == 0)", "instant": true, "refId": "A" }]
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},
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{
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"id": 3, "type": "stat", "title": "TSDB head series",
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"description": "Active series in memory. A jump = a new exporter or a label-cardinality leak.",
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"gridPos": { "h": 4, "w": 5, "x": 8, "y": 0 },
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"datasource": { "type": "prometheus", "uid": "prometheus" },
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"fieldConfig": { "defaults": { "unit": "short" }, "overrides": [] },
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"targets": [{ "expr": "prometheus_tsdb_head_series", "instant": true, "refId": "A" }]
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},
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{
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"id": 4, "type": "stat", "title": "Discovered targets",
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"gridPos": { "h": 4, "w": 5, "x": 13, "y": 0 },
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"datasource": { "type": "prometheus", "uid": "prometheus" },
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"fieldConfig": { "defaults": { "unit": "short" }, "overrides": [] },
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"targets": [{ "expr": "sum(prometheus_sd_discovered_targets)", "instant": true, "refId": "A" }]
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},
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{
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"id": 5, "type": "stat", "title": "Prometheus mem",
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"gridPos": { "h": 4, "w": 3, "x": 18, "y": 0 },
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"datasource": { "type": "prometheus", "uid": "prometheus" },
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"fieldConfig": { "defaults": { "unit": "bytes" }, "overrides": [] },
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"targets": [{ "expr": "process_resident_memory_bytes{job=\"prometheus\"}", "instant": true, "refId": "A" }]
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},
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{
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"id": 6, "type": "stat", "title": "Grafana up",
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"gridPos": { "h": 4, "w": 3, "x": 21, "y": 0 },
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"datasource": { "type": "prometheus", "uid": "prometheus" },
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"fieldConfig": { "defaults": { "mappings": [{ "type": "value", "options": { "1": { "text": "UP", "color": "green" }, "0": { "text": "DOWN", "color": "red" } } }], "thresholds": { "mode": "absolute", "steps": [{ "color": "red", "value": null }, { "color": "green", "value": 1 }] } }, "overrides": [] },
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"targets": [{ "expr": "up{job=\"grafana\"}", "instant": true, "refId": "A" }]
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},
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{
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"id": 7, "type": "table", "title": "Target health",
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"description": "Every scrape target and its current up. Sort by Value to surface regressions.",
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"gridPos": { "h": 9, "w": 12, "x": 0, "y": 4 },
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"datasource": { "type": "prometheus", "uid": "prometheus" },
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"options": { "sortBy": [{ "displayName": "Value", "sortOrder": "Asc" }] },
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"targets": [{ "expr": "up", "format": "table", "instant": true, "refId": "A" }]
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},
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{
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"id": 8, "type": "timeseries", "title": "Scrape interval drift (p99 actual)",
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"description": "Actual seconds between scrapes (summary quantile). Above the 15s scrape_interval = Prometheus is falling behind its own cadence (slow endpoints or overload).",
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"gridPos": { "h": 9, "w": 12, "x": 12, "y": 4 },
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"datasource": { "type": "prometheus", "uid": "prometheus" },
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"fieldConfig": { "defaults": { "unit": "s" }, "overrides": [] },
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"targets": [{ "expr": "prometheus_target_interval_length_seconds{quantile=\"0.99\"}", "legendFormat": "{{instance}}", "refId": "A" }]
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},
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{
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"id": 9, "type": "timeseries", "title": "Scrape samples/s",
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"description": "Total samples ingested across all jobs.",
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"gridPos": { "h": 8, "w": 12, "x": 0, "y": 13 },
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"datasource": { "type": "prometheus", "uid": "prometheus" },
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"fieldConfig": { "defaults": { "unit": "short" }, "overrides": [] },
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"targets": [{ "expr": "sum(rate(scrape_samples_scraped[5m]))", "legendFormat": "samples/s", "refId": "A" }]
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},
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{
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"id": 10, "type": "timeseries", "title": "Loki request rate",
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"description": "Loki served requests/s (push, query). A drop to zero means ingest or query has stopped.",
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"gridPos": { "h": 8, "w": 12, "x": 12, "y": 13 },
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"datasource": { "type": "prometheus", "uid": "prometheus" },
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"fieldConfig": { "defaults": { "unit": "reqps" }, "overrides": [] },
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"targets": [{ "expr": "sum by (route) (rate(loki_request_duration_seconds_count[5m]))", "legendFormat": "{{route}}", "refId": "A" }]
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},
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{
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"id": 11, "type": "timeseries", "title": "Exporter process CPU",
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"description": "CPU by monitored process \u2014 spot a runaway exporter or the Prometheus process itself.",
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"gridPos": { "h": 8, "w": 24, "x": 0, "y": 21 },
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"datasource": { "type": "prometheus", "uid": "prometheus" },
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"fieldConfig": { "defaults": { "unit": "percentunit" }, "overrides": [] },
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"targets": [{ "expr": "sum by (job) (rate(process_cpu_seconds_total[5m]))", "legendFormat": "{{job}}", "refId": "A" }]
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}
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]
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}
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