NVIDIA / NVIDIA/ai-cloud-validation
K8S24-01: Verify the cluster exposes the DRA API and runs a DRA-scheduled workload
Open
Nobody has claimed this yet.
kubernetes-control-plane
priority-1
- Dominant language
- Python
- Stars
- 27
- Forks
- 33
- Avg merge
- 1d 15h
- Merged PRs (30d)
- 28
Description
Dynamic Resource Allocation (DRA) must be enabled regardless of upstream feature status, whether beta or GA. Some DRA features require enabling feature gates for the control plane so that customers can run AI workloads with new DRA features.
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
No file or test entry point is named in the issue. Locate the existing Kubernetes validation entry point and review how cluster APIs and workloads are checked; done means confirming the DRA API is exposed and a DRA-scheduled workload runs with the required feature gates enabled.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- kubernetes, python
- Domain
- infrastructure, testing
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Active
- Clarity
- Needs clarification
- Newbie friendliness
- 45/100