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[dcgm] Update OOTB overview dashboard (DataDog#23413)
* [dcgm] Update OOTB overview dashboard Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * Remove "cloned" references from dashboard title and description Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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‎dcgm/assets/dashboards/dcgm_overview.json‎

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{
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"author_name": "Datadog",
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"description": "**DCGM Exporter**\n\nThe DCGM exporter is a tool to connect with Nvidia DCGM and exposes GPU telemetry in containerized environments. This dashboard gives you GPU metrics so you can monitor your GPU's health and performance effectively. \n\n\n**Useful Links**\n\n* [Blog Post](https://www.datadoghq.com/blog/monitor-nvidia-gpus-with-datadog/)\n* [List of GPUs supported](https://docs.nvidia.com/datacenter/dcgm/latest/user-guide/getting-started.html)\n",
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"description": "**DCGM Exporter**\n\nThe DCGM exporter is a tool to connect with Nvidia DCGM and exposes GPU telemetry in containerized environments. This dashboard gives you GPU metrics so you can monitor your GPU's health and performance effectively. \n\n\n**Useful Links**\n\n* [Blog Post](https://www.datadoghq.com/blog/monitor-nvidia-gpus-with-datadog/)\n* [List of GPUs supported](https://docs.nvidia.com/datacenter/dcgm/latest/user-guide/getting-started.html)",
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"layout_type": "ordered",
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"template_variables": [
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{
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"prefix": "service"
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}
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],
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"title": "DCGM Exporter (Nvidia GPU Monitoring) Overview",
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"title": "LEGACY - DCGM Exporter (Nvidia GPU Monitoring) Overview",
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"widgets": [
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{
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"definition": {
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"background_color": "vivid_yellow",
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"layout_type": "ordered",
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"show_title": true,
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"title": "This is a legacy integration - Use Datadog's GPU Monitoring instead",
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"type": "group",
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"widgets": [
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{
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"definition": {
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"background_color": "white",
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"content": "This integration is no longer fully supported. Instead of enabling this integration, use Datadog's GPU Monitoring (now generally available) instead. \n\nDatadog's GPU Monitoring includes all of this integration's metrics and more. The product also provides proactive detection of device anomalies and guided recommended actions for how to maximize GPU efficiency and minimize GPU spend. ",
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"font_size": "14",
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"has_padding": true,
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"show_tick": false,
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"text_align": "left",
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"tick_edge": "left",
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"tick_pos": "50%",
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"type": "note",
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"vertical_align": "top"
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},
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"id": 3443863408063438,
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"layout": {
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"height": 2,
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"width": 6,
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"x": 0,
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"y": 0
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}
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},
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{
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"definition": {
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"background_color": "white",
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"content": "**Useful Links**\n\n* [What is Datadog's GPU Monitoring?](https://docs.datadoghq.com/gpu_monitoring/)\n* [Set up guide for GPU Monitoring](https://docs.datadoghq.com/gpu_monitoring/setup/?tab=datadogoperator)\n",
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"font_size": "16",
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"has_padding": true,
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"show_tick": false,
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"text_align": "left",
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"tick_edge": "left",
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"tick_pos": "50%",
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"type": "note",
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"vertical_align": "top"
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},
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"id": 5013994176334527,
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"layout": {
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"height": 2,
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"width": 6,
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"x": 6,
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"y": 0
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}
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}
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]
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},
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"id": 3549967635694783,
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"layout": {
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"height": 3,
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"width": 12,
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"x": 0,
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"y": 0
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}
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},
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{
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"definition": {
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"banner_img": "/static/images/integration_dashboard/dcgm_hero_1.png",
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},
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"id": 6955576996753366,
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"layout": {
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"height": 5,
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"height": 7,
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"width": 5,
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"x": 0,
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"y": 0
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"y": 3
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}
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},
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{
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"count": 50,
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"display_format": "countsAndList",
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"hide_zero_counts": true,
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"last_triggered_format": "relative",
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"query": "tag:(integration:dcgm)",
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"show_last_triggered": false,
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"show_priority": false,
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"show_status": true,
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"sort": "status,asc",
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"start": 0,
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"summary_type": "monitors",
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],
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"formulas": [
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{
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"formula": "query1",
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"limit": {
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"count": 10,
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"order": "desc"
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}
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"formula": "query1"
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}
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],
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"queries": [
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"query": "sum:dcgm.vgpu_license_status{*} by {dcgm_fi_driver_version}"
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}
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],
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"response_format": "scalar"
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"response_format": "scalar",
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"sort": {
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"count": 10,
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"order_by": [
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{
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"index": 0,
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"order": "desc",
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"type": "formula"
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}
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]
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}
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}
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],
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"title": "DCGM Driver Version",
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"height": 5,
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"width": 7,
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"x": 5,
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"y": 0
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"y": 3
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}
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},
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{
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}
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],
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"show_legend": true,
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"time": {},
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"title": "GPU Temperature",
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"title_align": "left",
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"title_size": "16",
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"height": 7,
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"width": 12,
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"x": 0,
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"y": 5
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"y": 10
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}
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},
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{
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"height": 5,
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"width": 12,
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"x": 0,
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"y": 12
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"y": 17
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}
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},
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{
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"is_column_break": true,
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"width": 12,
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"x": 0,
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"y": 17
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"y": 44
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}
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},
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{
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{
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"formulas": [
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{
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"formula": "query1 + query2",
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"limit": {
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"order": "desc"
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}
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"formula": "query1 + query2"
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}
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],
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"queries": [
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}
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],
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"response_format": "scalar",
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"sort": {
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"order_by": [
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{
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"index": 0,
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"order": "desc",
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"type": "formula"
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}
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]
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},
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"style": {
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"palette": "datadog16"
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}
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],
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"formulas": [
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{
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"formula": "query1",
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"limit": {
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"count": 500,
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"order": "desc"
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}
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"formula": "query1"
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}
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],
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"queries": [
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"query": "sum:dcgm.vgpu_license_status{*} by {dcgm_fi_process_name}"
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}
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],
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"response_format": "scalar"
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"response_format": "scalar",
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"sort": {
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"count": 500,
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"order_by": [
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{
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"index": 0,
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"order": "desc",
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"type": "formula"
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}
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]
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}
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}
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],
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"style": {},
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"height": 9,
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"width": 12,
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"x": 0,
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"y": 23
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"y": 50
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}
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}
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]

‎dcgm/manifest.json‎

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"homepage": "https://www.datadoghq.com",
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"sales_email": "info@datadoghq.com"
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}
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}
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}

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