NVIDIA / NVIDIA/ai-cloud-validation
bug: K8sGpuOperatorPodsCheck: no Network Operator, no pod health, no golden configuration
Open
Nobody has claimed this yet.
bug
kubernetes
priority-1
- Dominant language
- Python
- Stars
- 27
- Forks
- 33
- Avg merge
- 1d 15h
- Merged PRs (30d)
- 28
Description
We check that the GPU Operator pods exist and that there’s at least one pod running. We don’t check for the Network Operator at all, or verify that the pods are healthy. We also don’t verify if there’s a mechanism to override the operator versions.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by locating the K8sGpuOperatorPodsCheck entry point and reviewing its existing GPU Operator pod validation. Trace how operator presence, pod status, and operator-version configuration are represented in the validation code; the work is done when Network Operator presence, pod health, and a version-override mechanism are checked.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- kubernetes, python
- Domain
- infrastructure, testing
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Active
- Clarity
- Mostly clear
- Newbie friendliness
- 52/100