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[docs][autoscaler] additional dependencies needs to be mentioned to build your own autoscaler image #8235

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yxue-kabam opened this issue Apr 29, 2020 · 3 comments
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bug infra autoscaler, ray client, kuberay, related issues P2 Important issue, but not time-critical
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@yxue-kabam
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What is the problem?

While building my own image for ray as described by https://github.com/ray-project/ray/blob/master/python/ray/autoscaler/kubernetes/example-full.yaml#L112 , I found additional tools needs to be added: uptime and kubernetes python package

Ray version and other system information (Python version, TensorFlow version, OS):
debian-stretch
python 3.7

Reproduction (REQUIRED)

Please provide a script that can be run to reproduce the issue. The script should have no external library dependencies (i.e., use fake or mock data / environments):
FROM debian-stretch image
apt-get install kubectl, screen, rsync

In additional, I needed to add kubernetes python package and procps debian package

If we cannot run your script, we cannot fix your issue.

  • [x ] I have verified my script runs in a clean environment and reproduces the issue.
  • I have verified the issue also occurs with the latest wheels.
@yxue-kabam yxue-kabam added the bug label Apr 29, 2020
@rkooo567
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@edoakes Seems like we should add these dependencies to our docker image?

@yxue-kabam
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@rkooo567 ray/autoscaler already have these packages if that's what you are referring to

@rkooo567 rkooo567 self-assigned this May 28, 2020
@rkooo567 rkooo567 removed the triage label May 28, 2020
@rkooo567 rkooo567 added the P2 Important issue, but not time-critical label Jul 26, 2020
@rkooo567 rkooo567 removed their assignment Jul 26, 2020
@rkooo567
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cc @ijrsvt

@ericl ericl added this to the Serverless Autoscaling milestone Jan 20, 2021
@ericl ericl removed the autoscaler label Jan 20, 2021
@AmeerHajAli AmeerHajAli added the infra autoscaler, ray client, kuberay, related issues label Mar 26, 2022
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Labels
bug infra autoscaler, ray client, kuberay, related issues P2 Important issue, but not time-critical
4 participants