From 15ecf0b910e0bb93c344054abe64117ca930d9b1 Mon Sep 17 00:00:00 2001 From: RamanaReddy8801 Date: Tue, 31 Oct 2023 15:48:56 +0530 Subject: [PATCH] NVIDIA DCGM - New AI Quickstart --- .../nvidia-dcgm/HighTemperature.yml | 27 ++ alert-policies/nvidia-dcgm/XidError.yml | 27 ++ dashboards/nvidia-dcgm/nvidia-dcgm.json | 246 ++++++++++++++++++ dashboards/nvidia-dcgm/nvidia-dcgm01.png | Bin 0 -> 340749 bytes data-sources/nvidia-dcgm/config.yml | 13 + data-sources/nvidia-dcgm/logo.png | Bin 0 -> 53090 bytes quickstarts/nvidia-dcgm/config.yml | 37 +++ quickstarts/nvidia-dcgm/logo.png | Bin 0 -> 53090 bytes 8 files changed, 350 insertions(+) create mode 100644 alert-policies/nvidia-dcgm/HighTemperature.yml create mode 100644 alert-policies/nvidia-dcgm/XidError.yml create mode 100644 dashboards/nvidia-dcgm/nvidia-dcgm.json create mode 100644 dashboards/nvidia-dcgm/nvidia-dcgm01.png create mode 100644 data-sources/nvidia-dcgm/config.yml create mode 100644 data-sources/nvidia-dcgm/logo.png create mode 100644 quickstarts/nvidia-dcgm/config.yml create mode 100644 quickstarts/nvidia-dcgm/logo.png diff --git a/alert-policies/nvidia-dcgm/HighTemperature.yml b/alert-policies/nvidia-dcgm/HighTemperature.yml new file mode 100644 index 0000000000..efeaec7672 --- /dev/null +++ b/alert-policies/nvidia-dcgm/HighTemperature.yml @@ -0,0 +1,27 @@ +name: High GPU Temperature + +description: |+ + This alert is triggered when the Nvidia GPU Temperature is above 90%. + +type: STATIC +nrql: + query: "SELECT latest(DCGM_FI_DEV_GPU_TEMP) AS 'gpu temperature' FROM Metric WHERE metricName LIKE 'DCGM_FI_DEV_GPU_TEMP'" + +# Function used to aggregate the NRQL query value(s) for comparison to the terms.threshold (Default: SINGLE_VALUE) +valueFunction: SINGLE_VALUE + +# List of Critical and Warning thresholds for the condition +terms: + - priority: CRITICAL + # Operator used to compare against the threshold. + operator: ABOVE + # Value that triggers a violation + threshold: 90 + # Time in seconds; 120 - 3600 + thresholdDuration: 300 + # How many data points must be in violation for the duration + thresholdOccurrences: ALL + +# Duration after which a violation automatically closes +# Time in seconds; 300 - 2592000 (Default: 86400 [1 day]) +violationTimeLimitSeconds: 86400 diff --git a/alert-policies/nvidia-dcgm/XidError.yml b/alert-policies/nvidia-dcgm/XidError.yml new file mode 100644 index 0000000000..e5346761c1 --- /dev/null +++ b/alert-policies/nvidia-dcgm/XidError.yml @@ -0,0 +1,27 @@ +name: XID Error + +description: |+ + This alert is triggered when the error is higher than 3 for 5 minutes. + +type: STATIC +nrql: + query: "SELECT latest(DCGM_FI_DEV_XID_ERRORS) AS 'errors' FROM Metric WHERE metricName like 'DCGM_FI_DEV_XID_ERRORS'" + +# Function used to aggregate the NRQL query value(s) for comparison to the terms.threshold (Default: SINGLE_VALUE) +valueFunction: SINGLE_VALUE + +# List of Critical and Warning thresholds for the condition +terms: + - priority: CRITICAL + # Operator used to compare against the threshold. + operator: ABOVE + # Value that triggers a violation + threshold: 3 + # Time in seconds; 120 - 3600 + thresholdDuration: 300 + # How many data points must be in violation for the duration + thresholdOccurrences: ALL + +# Duration after which a violation automatically closes +# Time in seconds; 300 - 2592000 (Default: 86400 [1 day]) +violationTimeLimitSeconds: 86400 diff --git a/dashboards/nvidia-dcgm/nvidia-dcgm.json b/dashboards/nvidia-dcgm/nvidia-dcgm.json new file mode 100644 index 0000000000..413f038e54 --- /dev/null +++ b/dashboards/nvidia-dcgm/nvidia-dcgm.json @@ -0,0 +1,246 @@ +{ + "name": "NVIDIA", + "description": null, + "pages": [ + { + "name": "Overview", + "description": null, + "widgets": [ + { + "title": "", + "layout": { + "column": 1, + "row": 1, + "width": 2, + "height": 2 + }, + "linkedEntityGuids": null, + "visualization": { + "id": "viz.markdown" + }, + "rawConfiguration": { + "text": "![NVIDIA DCGM](https://assets.nvidiagrid.net/ngc/logos/DCGM.png)" + } + }, + { + "title": "GPU Temperature ", + "layout": { + "column": 3, + "row": 1, + "width": 4, + "height": 3 + }, + "linkedEntityGuids": null, + "visualization": { + "id": "viz.area" + }, + "rawConfiguration": { + "facet": { + "showOtherSeries": false + }, + "legend": { + "enabled": true + }, + "nrqlQueries": [ + { + "accountIds": [], + "query": "SELECT latest(DCGM_FI_DEV_GPU_TEMP ) AS 'gpu temperature' FROM Metric WHERE metricName LIKE 'DCGM_FI_DEV_GPU_TEMP' TIMESERIES " + } + ], + "platformOptions": { + "ignoreTimeRange": false + }, + "units": { + "unit": "CELSIUS" + } + } + }, + { + "title": "Power usage(%)", + "layout": { + "column": 7, + "row": 1, + "width": 3, + "height": 3 + }, + "linkedEntityGuids": null, + "visualization": { + "id": "viz.billboard" + }, + "rawConfiguration": { + "facet": { + "showOtherSeries": false + }, + "nrqlQueries": [ + { + "accountIds": [], + "query": "SELECT average(DCGM_FI_DEV_POWER_USAGE) AS 'usage' FROM Metric WHERE metricName LIKE 'DCGM_FI_DEV_POWER_USAGE' " + } + ], + "platformOptions": { + "ignoreTimeRange": false + } + } + }, + { + "title": "Total nvlink bandwidth", + "layout": { + "column": 10, + "row": 1, + "width": 3, + "height": 3 + }, + "linkedEntityGuids": null, + "visualization": { + "id": "viz.area" + }, + "rawConfiguration": { + "facet": { + "showOtherSeries": false + }, + "legend": { + "enabled": true + }, + "nrqlQueries": [ + { + "accountIds": [], + "query": "SELECT latest(DCGM_FI_DEV_NVLINK_BANDWIDTH_TOTAL) AS 'nvlink bandwidth' FROM Metric WHERE metricName like 'DCGM_FI_DEV_NVLINK_BANDWIDTH_TOTAL' TIMESERIES " + } + ], + "platformOptions": { + "ignoreTimeRange": false + } + } + }, + { + "title": "", + "layout": { + "column": 1, + "row": 3, + "width": 2, + "height": 2 + }, + "linkedEntityGuids": null, + "visualization": { + "id": "viz.markdown" + }, + "rawConfiguration": { + "text": "**About**\n\nInstrument your application with New Relic - [Add Data](https://one.newrelic.com).\n\nInstrument NVIDIA DCGM with New Relic using the [documentation](https://docs.newrelic.com/).\n\n[Please rate this dashboard](https://docs.google.com/forms/d/e/1FAIpQLSclR38J8WbbB2J1tHnllKUkzWZkJhf4SrJGyavpMd4t82NjnQ/viewform?usp=pp_url&entry.1615922415=nvidia-dcgm) here and let us know how we can improve it for you." + } + }, + { + "title": "Clocks(MHz)", + "layout": { + "column": 3, + "row": 4, + "width": 5, + "height": 3 + }, + "linkedEntityGuids": null, + "visualization": { + "id": "viz.area" + }, + "rawConfiguration": { + "facet": { + "showOtherSeries": false + }, + "legend": { + "enabled": true + }, + "nrqlQueries": [ + { + "accountIds": [], + "query": "SELECT latest(DCGM_FI_DEV_MEM_CLOCK) AS 'MEM Clock', latest(DCGM_FI_DEV_SM_CLOCK) AS 'SM Clock' FROM Metric TIMESERIES" + } + ], + "platformOptions": { + "ignoreTimeRange": false + } + } + }, + { + "title": "Framebuffer free (bytes)", + "layout": { + "column": 8, + "row": 4, + "width": 3, + "height": 3 + }, + "linkedEntityGuids": null, + "visualization": { + "id": "viz.billboard" + }, + "rawConfiguration": { + "facet": { + "showOtherSeries": false + }, + "nrqlQueries": [ + { + "accountIds": [], + "query": "SELECT latest(DCGM_FI_DEV_FB_FREE) AS 'Free', latest(DCGM_FI_DEV_FB_USED) AS 'Used' FROM Metric" + } + ], + "platformOptions": { + "ignoreTimeRange": false + } + } + }, + { + "title": "XID errors", + "layout": { + "column": 11, + "row": 4, + "width": 2, + "height": 3 + }, + "linkedEntityGuids": null, + "visualization": { + "id": "viz.billboard" + }, + "rawConfiguration": { + "facet": { + "showOtherSeries": false + }, + "nrqlQueries": [ + { + "accountIds": [], + "query": "SELECT latest(DCGM_FI_DEV_XID_ERRORS) AS 'errors' FROM Metric WHERE metricName like 'DCGM_FI_DEV_XID_ERRORS'" + } + ], + "platformOptions": { + "ignoreTimeRange": false + } + } + }, + { + "title": "GPU utilisation ", + "layout": { + "column": 1, + "row": 5, + "width": 2, + "height": 2 + }, + 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It helps with performance optimization, fault detection, resource management, energy efficiency, and overall data center health, while also aiding in troubleshooting, security, and compliance. + + ## Comprehensive monitoring quickstart for NVIDIA DCGM + New Relic comprehensive monitoring of your GPU infrastructure in your data center. This setup will allow you to monitor GPU performance and health while leveraging the capabilities of New Relic for data visualization, alerting, and analysis. + + ## What’s included in this quickstart? + New Relic NVIDIA DCGM monitoring quickstart provides quality out-of-the-box reporting: + - Dashboards (power usage, gpu utilisation, clocks, etc) + - Alerts for ZooKeeper (gpu temperature, xid error) + + +summary: | + Monitor and analyze your NVIDIA DCGM infrastructure with New Relic. +icon: logo.png +level: New Relic +authors: + - New Relic + - Ramana Reddy +title: NVIDIA DCGM +documentation: + - name: NVIDIA DCGM integration documentation + description: | + Monitor and instrument your NVIDIA DCGM with New Relic to gain deep insights into your performance. + url: https://docs.newrelic.com/docs/infrastructure/host-integrations/host-integrations-list/nvidia-dcgm-integration/ +keywords: + - NVIDIA DCGM + - dcgm + - gpu +dataSourceIds: + - nvidia-dcgm +dashboards: + - nvidia-dcgm 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