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fix grafana dashboard and clarify dashboard usage more clearly. #543

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Signed-off-by: jiangsanyin [email protected]

What type of PR is this?
/kind bug

What this PR does / why we need it:
fix grafana dashboard and clarify dashboard usage more clearly. Thanks "fangfenghuang (https://github.com/fangfenghuang)" for your help

Which issue(s) this PR fixes:
Fixes #498 #468

Special notes for your reviewer:

Does this PR introduce a user-facing change?:

image: nvcr.io/nvidia/k8s/cuda-sample:vectoradd-cuda10.2
resources:
limits:
nvidia.com/vgpu: 2 # requesting 2 vGPUs
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Should "nvidia.com/vgpu" be "nvidia.com/gpu"?

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Should "nvidia.com/vgpu" be "nvidia.com/gpu"?

I forgot to explain it, it depends on our own case.
In order to distinguish from “nvidia.com/gpu” in nvidia-device-plugin, I used resourceName parameter and setted it's value to "nvidia.com/vgpu", such as: helm install hami hami-charts/hami --set resourceName=nvidia.com/vgpu --set scheduler.kubeScheduler.imageTag=v1.23.10 -n kube-system

@wawa0210
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@fangfenghuang Can you help review this pr?

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codecov bot commented Oct 24, 2024

Codecov Report

All modified and coverable lines are covered by tests ✅

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fix some http url


​ You can see the monitoring details in the dashboard. The contents are as follows:

![image-20241003215400685](https://s2.loli.net/2024/10/03/RFJuthzAGYw5UHk.png)

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It is best to place the referenced images in the ../imgs/

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ok, changes has been made.

…he image display problem in document and document format

Signed-off-by: jiangsanyin <[email protected]>
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Successfully merging this pull request may close these issues.

monitoring data node_name not exists ,GPU power usage is not correct in Grafana Dashboard
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