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Helm controller concurrent workers is too high causing OOMs #278

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nitishm opened this issue Jun 4, 2021 · 3 comments · Fixed by #280
Closed

Helm controller concurrent workers is too high causing OOMs #278

nitishm opened this issue Jun 4, 2021 · 3 comments · Fixed by #280
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bug Something isn't working good first issue Good for newcomers size : S Byte size tasks

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@nitishm
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nitishm commented Jun 4, 2021

Describe the bug
A clear and concise description of what the bug is.
The concurrent workers are set to 20 which is too high. We should dial it down to a smaller set (5 workers).

To Reproduce
Seen on larger clusters running more complex workloads with more than 10 HelmReleases being reconciled at a time.
No examples available in this repository

Expected behavior
A clear and concise description of what you expected to happen.
Smaller set of workers means the resource consumption will be lower

Screenshots
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Environment (please complete the following information):

  • Kubernetes Version [e.g. 1.21.0]
  • Kubernetes Distro [e.g. AKS, GKE, etc.]
  • Orkestra Version Tag
  • Helm Version

Additional context
Change the default concurrent workers in the orkestra charts values.yaml file from 20 to 5

@nitishm nitishm added bug Something isn't working good first issue Good for newcomers size : S Byte size tasks labels Jun 4, 2021
@mahalrs
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mahalrs commented Jun 4, 2021

Hey @nitishm, I am new to open source, and I would like to contribute to this project.

@nitishm
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nitishm commented Jun 4, 2021

Hey @nitishm, I am new to open source, and I would like to contribute to this project.

Thanks for taking this up and welcome to the community! Feel free to pick any other task that might seem interesting! 🎉

@mahalrs
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mahalrs commented Jun 4, 2021

Hey @nitishm, I am new to open source, and I would like to contribute to this project.

Thanks for taking this up and welcome to the community! Feel free to pick any other task that might seem interesting! 🎉

Thanks @nitishm

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Labels
bug Something isn't working good first issue Good for newcomers size : S Byte size tasks
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2 participants