fix(monitor): replace MustNewConstMetric with safe helper and track InitContainers - #2716
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Included review availability: Your plan includes up to 8 reviews per rolling hour; 5 remain after this review. 📝 WalkthroughWalkthroughGPU memory and utilization metrics now use error-returning ChangesGPU metric collection
Estimated code review effort: 2 (Simple) | ~10 minutes Merge Risk: ⚪ Minimal · up to The change makes metric creation safer and adds GPU metrics for init containers; no actionable merge-blocking risk remains beyond normal checks and review. Suggested labels: Suggested reviewers: Poem
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Actionable comments posted: 1
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Inline comments:
In `@cmd/vGPUmonitor/metrics.go`:
- Around line 406-408: Update the allContainers construction in the container
iteration flow to allocate a new slice before combining pod.Spec.InitContainers
and pod.Spec.Containers, preventing append from mutating informer-cache storage.
Preserve the existing iteration over both init and regular containers.
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cmd/vGPUmonitor/metrics.go
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Inline comments:
In `@cmd/vGPUmonitor/metrics_extra_test.go`:
- Line 1: Add the repository-standard Apache 2.0 license header at the beginning
of the Go file, before the package declaration in metrics_extra_test.go.
- Around line 8-16: Reorder imports in the test so standard-library imports come
first, external dependencies including NVIDIA, Prometheus, and Kubernetes
packages come next, and the github.com/Project-HAMi/HAMi imports are in the
final group; configure goimports to recognize the repository module as the local
prefix.
- Around line 55-60: Update the test setup around the map assigned via
reflect.Value.Set so it includes valid usage entries for both init-c1 and c1,
with non-nil Info values so collectPodAndContainerInfo includes them. Drain the
metric channel and assert that metrics are emitted for both container names,
ensuring the test fails if either init-container or regular-container iteration
is removed.
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Thanks for the review @mesutoezdil !
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/assign @mesutoezdil |
mesutoezdil
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mesutoezdil
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all three earlier points are addressed. the test now pins init-c1 and the reflection is gone. two small things inline.
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Thanks for the review @mesutoezdil
2 ) In pkg/monitor/nvidia/cudevshr.go, I added the l.mutex.Lock() to SetContainersForTest as suggested, to keep the map access thread-safe. |
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…nitContainers Signed-off-by: devGP7 <gauravpatil232005@gmail.com>
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/lgtm |
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/lgtm |
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/lgtm |
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[APPROVALNOTIFIER] This PR is APPROVED This pull-request has been approved by: devGPP23, FouoF The full list of commands accepted by this bot can be found here. The pull request process is described here DetailsNeeds approval from an approver in each of these files:
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4 participants
PROBLEM
While reviewing the
vGPUmonitorcode for observability gaps, I found two significant issues that impact the stability and accuracy of GPU metrics:Panic Risk in Host Metrics: The monitor currently uses
prometheus.MustNewConstMetricto register host-level GPU memory and utilization metrics. If the underlying NVML library returns unexpected data—such as a missing, empty, or malformed UUID string—MustNewConstMetricwill panic and crash the entire monitor process. This is the exact same dangerous pattern that was recently fixed in the scheduler codebase (fix(metrics): replace dangerous MustNewConstMetric with safe helper in scheduler #2326).Missing GPU Observability for InitContainers: In the
collectPodAndContainerInfofunction, the monitor only loops throughpod.Spec.Containersto collect container-level GPU usage metrics. It completely skipspod.Spec.InitContainers. Since HAMi fully supports GPU allocation in init containers (which are frequently used for heavy tasks like downloading large AI models or dataset preprocessing), operators currently have a massive blind spot. They cannot see the GPU memory or utilization for these init workloads in their dashboards.SOLUTION
Safe Metric Registration: I replaced the unsafe
prometheus.MustNewConstMetriccalls with thesendMetricwrapper function.sendMetricsafely handles theNewConstMetricerror by logging it and returning, rather than crashing the entire application. This brings these two metrics in line with the rest of the codebase.InitContainer Tracking: I updated the container iteration loop in
collectPodAndContainerInfoto combinepod.Spec.InitContainersandpod.Spec.Containersinto a single slice before iterating. This ensures that any GPU usage happening during the init phase is successfully tracked and exported to Prometheus, providing true end-to-end observability.AI DISCLOSURE
I took help of AI to help me understand the problem and probable steps. However I have manually reviewed, tested, and fully understand all the changes introduced in this PR.
Summary by CodeRabbit