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Posted to issues@yunikorn.apache.org by "Craig Condit (Jira)" <ji...@apache.org> on 2022/08/15 22:41:00 UTC

[jira] [Assigned] (YUNIKORN-702) Add doc to explain yunikorn can support any K8s workload

     [ https://issues.apache.org/jira/browse/YUNIKORN-702?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Craig Condit reassigned YUNIKORN-702:
-------------------------------------

    Assignee: Craig Condit

> Add doc to explain yunikorn can support any K8s workload
> --------------------------------------------------------
>
>                 Key: YUNIKORN-702
>                 URL: https://issues.apache.org/jira/browse/YUNIKORN-702
>             Project: Apache YuniKorn
>          Issue Type: New Feature
>          Components: website
>            Reporter: Weiwei Yang
>            Assignee: Craig Condit
>            Priority: Major
>
> I got some feedback from new users, when they look at our docs, they feel YuniKorn can only support Spark/Flink/TF, I guess this feeling was because these docs: http://yunikorn.apache.org/docs/next/user_guide/workloads/run_spark. This is not true, we should position yunikorn better as a replacement of the default scheduler, that can support any K8s workload.



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