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Answered
Hey Guys

Hey guys 🙂
I am wondering what is the best way to make a clearml-server deployment robust? E.g. let's say my server may become unavailable because of a hardware defect. Should I just backup the clearml directory from time to time or is there a better way?

For the filesserver I use MinIO which has all kinds of redundancy, but I want to guarantee high availability/safety for the ClearML server (i.e. tasks) itself.

  
  
Posted 7 months ago
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Answers 2


In general, it is advisable to have a regular backup, which would help in this case. Alternatively, you have the k8s helm chart for a more robust system

  
  
Posted 7 months ago

Thank you, I will look into it :)

  
  
Posted 7 months ago
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2 Answers
7 months ago
7 months ago
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