Exception request for Docs changes for KEP #2837

Dixita Narang

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Nov 26, 2024, 6:10:12 PM11/26/24

to releas...@kubernetes.io, kubernetes-...@googlegroups.com, kubernetes-sig-node

Enhancement name: Pod Level Resources

Enhancement status (alpha/beta/stable): alpha

SIG: SIG-Node

k/enhancements repo issue #: #2837

PR #’s: #128407 already merged

Additional time needed (in days): 8 (4 business days i.e. Dec 4)

Reason this enhancement is critical for this milestone: This feature has been in discussions since Feb 2020. The more we delay this feature, it becomes difficult to support new features being added in every release. Plus, It is important to unblock AI/ML use cases since these workloads have highly variable resource demands in different stages.

Risks from adding code late: (to k8s stability, testing, etc.) Code changes are already merged. This exception request is only for documentation changes for alpha stage.

Risks from cutting enhancement: (partial implementation, critical customer usecase, etc.) This feature opens up usecases AI/ML workloads (such as Dynamic Containers), further delays in making this feature available will slow down the ability to effectively support this rapidly evolving AI/Ml workloads.

Dawn Chen

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Nov 26, 2024, 7:19:24 PM11/26/24

to Dixita Narang, releas...@kubernetes.io, kubernetes-...@googlegroups.com, kubernetes-sig-node

Approved from SIG Node perspective. Thanks!

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Dixita Narang

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Nov 26, 2024, 8:46:11 PM11/26/24

to Dawn Chen, releas...@kubernetes.io, kubernetes-...@googlegroups.com, kubernetes-sig-node

Revising the additional time needed as per discussion on slack.

Enhancement name: Pod Level Resources

Enhancement status (alpha/beta/stable): alpha

SIG: SIG-Node

k/enhancements repo issue #: #2837

PR #’s: #128407 already merged

Additional time needed (in days): 3 (3 business days i.e. Nov 29)

Reason this enhancement is critical for this milestone: This feature has been in discussions since Feb 2020. The more we delay this feature, it becomes difficult to support new features being added in every release. Plus, It is important to unblock AI/ML use cases since these workloads have highly variable resource demands in different stages.

Risks from adding code late: (to k8s stability, testing, etc.) Code changes are already merged. This exception request is only for documentation changes for alpha stage.

Risks from cutting enhancement: (partial implementation, critical customer usecase, etc.) This feature opens up usecases AI/ML workloads (such as Dynamic Containers), further delays in making this feature available will slow down the ability to effectively support this rapidly evolving AI/Ml workloads.

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