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Hi All, Idk Whether This Is The Right Channel To Ask This Question My Team Are Using Clearml As Part Of Our Development Process. We Wish To Use Clearml-Serve As Well To Deploy Our Services To K8S; However, As Clearml-Serve Is Not Mature Enough, We’Ll Wai

Hi all,
Idk whether this is the right channel to ask this question

My team are using ClearML as part of our development process.
We wish to use ClearML-serve as well to deploy our services to k8s; however, as ClearML-serve is not mature enough, we’ll wait for 1.0 version (more backends are supported) and we are finding an alternative approach to use in the meantime.

What we are thinking is how to build a bridge to “link” ClearML-server (act as a model registry) and the deployment environment (k8s for example). Then, using DevOps to automatically build service, get chosen models from ClearML server and deploy the service to the staging and production environments.
Any ideas, guys?

  
  
Posted 2 years ago
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Hi GrittyKangaroo27
Maybe check the TriggerScheduler , and have a function trigger something on k8s every time you "publish" a model?
https://github.com/allegroai/clearml/blob/master/examples/scheduler/trigger_example.py

  
  
Posted 2 years ago
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