ClearML FAQ | Question About Using S3 As Artifact Storage - Do We Need To Setup S3 Credentials On Every System That Is Using Those Artifacts (E.G. In Clearml-Agent Where Model Upload Happens, Or In A Prediction Service, That Needs To Download The Latest Model)

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Question About Using S3 As Artifact Storage - Do We Need To Setup S3 Credentials On Every System That Is Using Those Artifacts (E.G. In Clearml-Agent Where Model Upload Happens, Or In A Prediction Service, That Needs To Download The Latest Model)

question about using s3 as artifact storage - do we need to setup s3 credentials on every system that is using those artifacts (e.g. in clearml-agent where model upload happens, or in a prediction service, that needs to download the latest model)

  				
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	3 years ago

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					FiercePenguin76
				
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With pleasure 🙂

  				
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	3 years ago

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					AgitatedDove14
				
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thanks for info

  				
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	3 years ago

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					FiercePenguin76
				
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BTW: server-side vault is in progress, hopefully will be available in the upcoming releases :)

  				
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	3 years ago

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					AgitatedDove14
				
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Hi FiercePenguin76
So currently the idea is you have full control over per user credentials (i.e. stored locally). Agents (depending on how deployed) can have shared credentials (with AWS the easiest is to push to the OS env)

  				
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	3 years ago

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					AgitatedDove14
				
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or somehow, we can centralize the storage of S3 credentials (i.e. on clearml-server) so that clients can access s3 through the server

  				
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	3 years ago

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					FiercePenguin76
				
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