Michael Skrynski
eb800cd4e3
- Remove 'when: not k3s_binary.stat.exists' condition from k3s-server and k3s-agent installation tasks to allow in-place upgrades of K3s versions - Update task names to reflect both install and upgrade functionality - Add change detection using stdout inspection for better Ansible reporting Add InfluxDB v2 native dashboard alongside Grafana dashboard: - Create influxdb/rpi-cluster-dashboard-v2.json for InfluxDB 2.8 compatibility - Update Grafana dashboard datasource UID from 'influx' to 'influxdb' - Remove unused disk usage and network traffic panels per user request Update worker node discovery in compute-blade-agent verification script: - Fix pattern matching to work with cm4-* node naming convention - Add support for pi-worker and cb-0* patterns as fallbacks - Now correctly parses [worker] section from inventory Update inventory version documentation: - Add comment explaining how to use 'latest' for auto-updates - Set version to v1.35.0+k3s1 (updated from v1.34.2+k3s1) - Add guidance on version format for users Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
239 lines
6.0 KiB
JSON
239 lines
6.0 KiB
JSON
{
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"name": "Raspberry Pi K3s Cluster Metrics",
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"description": "System monitoring dashboard for Raspberry Pi K3s cluster with Telegraf metrics",
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{
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"text": "from(bucket: \"rpi-cluster\")\n |> range(start: -15m)\n |> filter(fn: (r) => r[\"_measurement\"] == \"cpu\")\n |> filter(fn: (r) => r[\"_field\"] == \"usage_user\")\n |> mean()",
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"name": "Memory Usage - Average",
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"text": "from(bucket: \"rpi-cluster\")\n |> range(start: -15m)\n |> filter(fn: (r) => r[\"_measurement\"] == \"mem\")\n |> filter(fn: (r) => r[\"_field\"] == \"used_percent\")\n |> mean()",
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"text": "from(bucket: \"rpi-cluster\")\n |> range(start: -6h)\n |> filter(fn: (r) => r[\"_measurement\"] == \"cpu\")\n |> filter(fn: (r) => r[\"_field\"] == \"usage_user\")\n |> aggregateWindow(every: 1m, fn: mean)",
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"queries": [
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{
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"text": "from(bucket: \"rpi-cluster\")\n |> range(start: -6h)\n |> filter(fn: (r) => r[\"_measurement\"] == \"cpu_temp_thermal\")\n |> filter(fn: (r) => r[\"_field\"] == \"value\")\n |> aggregateWindow(every: 1m, fn: mean)",
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"y": {
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"bounds": [],
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"label": "Temperature (°C)",
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"prefix": "",
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"scale": "linear"
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"kind": "TimeSeries",
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"name": "System Load - All Nodes",
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"properties": {
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"queries": [
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{
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"text": "from(bucket: \"rpi-cluster\")\n |> range(start: -6h)\n |> filter(fn: (r) => r[\"_measurement\"] == \"system\")\n |> filter(fn: (r) => r[\"_field\"] == \"load1\")\n |> aggregateWindow(every: 1m, fn: mean)",
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"editMode": "advanced"
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}
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],
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"scale": "linear"
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},
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"y": {
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"bounds": [],
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"label": "Load Average (1m)",
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"prefix": "",
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"suffix": "",
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"scale": "linear"
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}
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}
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]
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}
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