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Enhance the scalability of multi-type workloads #15528

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chenzhiguo opened this issue Sep 25, 2024 · 2 comments · May be fixed by #15529
Open

Enhance the scalability of multi-type workloads #15528

chenzhiguo opened this issue Sep 25, 2024 · 2 comments · May be fixed by #15529
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kind/feature Well-understood/specified features, ready for coding.
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v1.18

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@chenzhiguo
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Describe the feature

Currently, KPA natively supports automatic scaling for workloads like Deployment. However, many large enterprises have their own developed types of workloads, such as the open-source CloneSet or mine AppSet. At this point, Knative has some shortcomings in scalability when facing different types of workloads. There is a hope to enhance scalability in this regard.
@chenzhiguo chenzhiguo added the kind/feature Well-understood/specified features, ready for coding. label Sep 25, 2024
@chenzhiguo chenzhiguo linked a pull request Sep 25, 2024 that will close this issue
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This issue is stale because it has been open for 90 days with no
activity. It will automatically close after 30 more days of
inactivity. Reopen the issue with /reopen. Mark the issue as
fresh by adding the comment /remove-lifecycle stale.

@github-actions github-actions bot added the lifecycle/stale Denotes an issue or PR has remained open with no activity and has become stale. label Dec 25, 2024
@dprotaso
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Cross posting what I said on the PR #15529 (comment)

Hey just catching up here - I think the right implementation we want to use is the /scale subresource.

This would allow us to work with any k8s type that can be scaled (ideally without modifications to the autoscaler.

https://kubernetes.io/docs/tasks/extend-kubernetes/custom-resources/custom-resource-definitions/#subresources

@chenzhiguo is this something you'd be interested in continuing?

@dprotaso dprotaso added this to the v1.18 milestone Jan 14, 2025
@github-actions github-actions bot removed the lifecycle/stale Denotes an issue or PR has remained open with no activity and has become stale. label Jan 15, 2025
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v1.18
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Support for multiple types of workloads chenzhiguo/serving
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@dprotaso @chenzhiguo