Closed rdubya16 closed 1 year ago
Issues go stale after 90d of inactivity.
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Stale issues rot after an additional 30d of inactivity and eventually close.
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/lifecycle stale
/remove-lifecycle stale
The Kubernetes project currently lacks enough contributors to adequately respond to all issues and PRs.
This bot triages issues and PRs according to the following rules:
lifecycle/stale
is appliedlifecycle/stale
was applied, lifecycle/rotten
is appliedlifecycle/rotten
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/remove-lifecycle stale
/lifecycle rotten
/close
Please send feedback to sig-contributor-experience at kubernetes/community.
/lifecycle stale
The Kubernetes project currently lacks enough active contributors to adequately respond to all issues and PRs.
This bot triages issues and PRs according to the following rules:
lifecycle/stale
is appliedlifecycle/stale
was applied, lifecycle/rotten
is appliedlifecycle/rotten
was applied, the issue is closedYou can:
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/close
Please send feedback to sig-contributor-experience at kubernetes/community.
/lifecycle rotten
/remove-lifecycle rotten
The Kubernetes project currently lacks enough contributors to adequately respond to all issues and PRs.
This bot triages issues and PRs according to the following rules:
lifecycle/stale
is appliedlifecycle/stale
was applied, lifecycle/rotten
is appliedlifecycle/rotten
was applied, the issue is closedYou can:
/remove-lifecycle stale
/lifecycle rotten
/close
Please send feedback to sig-contributor-experience at kubernetes/community.
/lifecycle stale
/remove-lifecycle stale
The Kubernetes project currently lacks enough contributors to adequately respond to all issues and PRs.
This bot triages issues and PRs according to the following rules:
lifecycle/stale
is appliedlifecycle/stale
was applied, lifecycle/rotten
is appliedlifecycle/rotten
was applied, the issue is closedYou can:
/remove-lifecycle stale
/lifecycle rotten
/close
Please send feedback to sig-contributor-experience at kubernetes/community.
/lifecycle stale
The Kubernetes project currently lacks enough active contributors to adequately respond to all issues and PRs.
This bot triages issues and PRs according to the following rules:
lifecycle/stale
is appliedlifecycle/stale
was applied, lifecycle/rotten
is appliedlifecycle/rotten
was applied, the issue is closedYou can:
/remove-lifecycle rotten
/close
Please send feedback to sig-contributor-experience at kubernetes/community.
/lifecycle rotten
The Kubernetes project currently lacks enough active contributors to adequately respond to all issues and PRs.
This bot triages issues according to the following rules:
lifecycle/stale
is appliedlifecycle/stale
was applied, lifecycle/rotten
is appliedlifecycle/rotten
was applied, the issue is closedYou can:
/reopen
/remove-lifecycle rotten
Please send feedback to sig-contributor-experience at kubernetes/community.
/close not-planned
@k8s-triage-robot: Closing this issue, marking it as "Not Planned".
Which component are you using?: VPA Recommender What version of the component are you using?: 0.8.1 What k8s version are you using (
kubectl version
)?:➜ vpa kubectl version Client Version: version.Info{Major:"1", Minor:"19", GitVersion:"v1.19.3", GitCommit:"1e11e4a2108024935ecfcb2912226cedeafd99df", GitTreeState:"clean", BuildDate:"2020-10-14T18:43:01Z", GoVersion:"go1.15.2", Compiler:"gc", Platform:"darwin/amd64"} Server Version: version.Info{Major:"1", Minor:"18+", GitVersion:"v1.18.9-eks-d1db3c", GitCommit:"d1db3c46e55f95d6a7d3e5578689371318f95ff9", GitTreeState:"clean", BuildDate:"2020-10-20T22:18:07Z", GoVersion:"go1.13.15", Compiler:"gc", Platform:"linux/amd64"}
What environment is this in?: EKS What did you expect to happen?: Recommendations that make sense What happened instead?: Recommendations dont match recorded metrics from prometheus
We are noticing after configuring VPA recommender for 100+ cronjobs the results we are getting dont seem to match the memory used by the pods. Many of our cronjobs are very short lived and ive found a few notes around that say it doesnt work well for jobs that run under a minute. I think this explains the majority of our cases but im still left with multiple examples of jobs that run for multiple minutes but their recommendations are much higher or lower than the expected values.
One other thing I noticed is that multiple cronjobs all seem to get the exact same target memory value. Should this be possible? These are all different cronjobs that run different workloads. Not sure how they could end up with all the same target values. Is the issue here the cronjobs only run for a few minutes a day and there isnt enough data to work with?