Plugin: go.d.plugin Module: intelgpu
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.
This integration doesn’t support auto-detection.
The default configuration for this integration does not impose any limits on data collection.
The default configuration for this integration is not expected to impose a significant performance impact on the system.
Install intel-gpu-tools
using your distribution’s package manager.
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
The following options can be defined globally: update_every.
Name | Description | Default | Required |
---|---|---|---|
update_every | Data collection frequency. | 1 | no |
device | Select a specific GPU using supported filter. | no |
Allows you to override the default data collection interval.
jobs:
- name: intelgpu
update_every: 5 # Collect Intel iGPU metrics every 5 seconds
Metrics grouped by scope.
The scope defines the instance that the metric belongs to. An instance is uniquely identified by a set of labels.
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 |
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 |
There are no alerts configured by default for this integration.
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
If you’re encountering problems with the intelgpu
collector, follow these steps to retrieve logs and identify potential issues:
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
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.
If your Netdata runs in a Docker container named “netdata” (replace if different), use this command:
docker logs netdata 2>&1 | grep intelgpu
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