Intel GPU

Plugin: go.d.plugin Module: intelgpu

Overview

This collector gathers performance metrics for Intel integrated GPUs. It relies on the intel_gpu_top CLI tool but avoids directly executing the binary. Instead, it utilizes ndsudo, a Netdata helper specifically designed to run privileged commands securely within the Netdata environment. This approach eliminates the need to grant the CAP_PERFMON capability to intel_gpu_top, improving security and potentially simplifying permission management.

This collector is supported on all platforms.

This collector supports collecting metrics from multiple instances of this integration, including remote instances.

Default Behavior

Auto-Detection

This integration doesn't support auto-detection.

Limits

The default configuration for this integration does not impose any limits on data collection.

Performance Impact

The default configuration for this integration is not expected to impose a significant performance impact on the system.

Metrics

Metrics grouped by scope.

The scope defines the instance that the metric belongs to. An instance is uniquely identified by a set of labels.

Per Intel GPU instance

These metrics refer to the Intel GPU.

This scope has no labels.

Metrics:

Metric	Dimensions	Unit
intelgpu.frequency	frequency	MHz
intelgpu.power	gpu, package	Watts

Per engine

These metrics refer to the GPU hardware engine.

Labels:

Label	Description
engine_class	Engine class (Render/3D, Blitter, VideoEnhance, Video, Compute).
engine_instance	Engine instance (e.g. Render/3D/0, Video/0, Video/1).

Metrics:

Metric	Dimensions	Unit
intelgpu.engine_busy_perc	busy	percentage

Alerts

There are no alerts configured by default for this integration.

Setup

Prerequisites

Install intel-gpu-tools

Install intel-gpu-tools using your distribution's package manager.

Configuration

File

The configuration file name for this integration is go.d/intelgpu.conf.

You can edit the configuration file using the edit-config script from the Netdata config directory.

cd /etc/netdata 2>/dev/null || cd /opt/netdata/etc/netdata
sudo ./edit-config go.d/intelgpu.conf

Options

The following options can be defined globally: update_every.

Config options

Name	Description	Default	Required
update_every	Data collection frequency.	1	no
device	Select a specific GPU using supported filter.		no

Examples

Custom update_every

Allows you to override the default data collection interval.

Config

jobs:
  - name: intelgpu
    update_every: 5  # Collect Intel iGPU metrics every 5 seconds

Troubleshooting

Debug Mode

Important: Debug mode is not supported for data collection jobs created via the UI using the Dyncfg feature.

To troubleshoot issues with the intelgpu collector, run the go.d.plugin with the debug option enabled. The output should give you clues as to why the collector isn't working.

• Navigate to the plugins.d directory, usually at /usr/libexec/netdata/plugins.d/. If that's not the case on your system, open netdata.conf and look for the plugins setting under [directories].

  cd /usr/libexec/netdata/plugins.d/

• Switch to the netdata user.

  sudo -u netdata -s

• Run the go.d.plugin to debug the collector:

  ./go.d.plugin -d -m intelgpu

Getting Logs

If you're encountering problems with the intelgpu collector, follow these steps to retrieve logs and identify potential issues:

• Run the command specific to your system (systemd, non-systemd, or Docker container).
• Examine the output for any warnings or error messages that might indicate issues. These messages should provide clues about the root cause of the problem.

System with systemd

Use the following command to view logs generated since the last Netdata service restart:

journalctl _SYSTEMD_INVOCATION_ID="$(systemctl show --value --property=InvocationID netdata)" --namespace=netdata --grep intelgpu

System without systemd

Locate the collector log file, typically at /var/log/netdata/collector.log, and use grep to filter for collector's name:

grep intelgpu /var/log/netdata/collector.log

Note: This method shows logs from all restarts. Focus on the latest entries for troubleshooting current issues.

Docker Container

If your Netdata runs in a Docker container named "netdata" (replace if different), use this command:

docker logs netdata 2>&1 | grep intelgpu