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Feature
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Resolution: Done
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Major
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None
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None
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False
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False
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Not Set
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No
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Not Set
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Not Set
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Not Set
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0% To Do, 0% In Progress, 100% Done
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Undefined
OCP/Telco Definition of Done
Epic Template descriptions and documentation.
<--- Cut-n-Paste the entire contents of this description into your new Epic --->
Epic Goal
- The goal is to evangelize the idea to the community to have an option in VPA to select ( among many recommenders) recommender based on the type of workload.
Why is this important?
- It is the first step to add predictive VPA in Kubernetes
Scenarios
- To enable an advanced VPA recommender that predicts CPU/memory limits/requests based on the behavior of resource usage.
- To enable a proactive VPA recommender that learns and predicts CPU/memory limits/requests for deep learning training workload.
Acceptance Criteria
- CI - MUST be running successfully with tests automated
- Release Technical Enablement - Provide necessary release enablement details and documents.
- ...
Dependencies (internal and external)
- The sig-autoscaling community needs to agree and approve this idea.
Previous Work (Optional):
- …
Open questions::
- There are two options to support customized recommenders.
- One is to develop a plugin framework similar to scheduler plugins.
- The other is to allow the VPA user to configure recommender as labels/annotations in VPA object, thus the recommender only selects VPA objects based on the label or annotation.
Done Checklist
- CI - CI is running, tests are automated and merged.
- Release Enablement <link to Feature Enablement Presentation>
- DEV - Upstream code and tests merged: <link to meaningful PR or GitHub Issue>
- DEV - Upstream documentation merged: <link to meaningful PR or GitHub Issue>
- DEV - Downstream build attached to advisory: <link to errata>
- QE - Test plans in Polarion: <link or reference to Polarion>
- QE - Automated tests merged: <link or reference to automated tests>
- DOC - Downstream documentation merged: <link to meaningful PR>
- causes
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OCPNODE-776 CherryPick commits from kubernetes/autoscaler#4131
- Closed
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PODAUTO-53 Prototype ThetaScan algorithm that Predicts Resource Usage based on Usage Beahviors
- Closed