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Answered
Hi All, I Have A Setup Where Data Scientists Can Run Notebooks In Headless Mode Remotely Using Sagemaker Processing Jobs, However I Have An Issue With Clearml Credentials. I Don'T Want Them To Send Their Own Api Key And Secret Key To A Remote Server Every

Hi all,
I have a setup where data scientists can run notebooks in headless mode remotely using sagemaker processing jobs, however I have an issue with clearml credentials.
I don't want them to send their own api key and secret key to a remote server every time due to security concerns, however if I use a single api key for all of them I don't know which person ran which task.
is there a way for me to use a single api key and api secret, but tell clearml using some envirnoment variable or configuration that a different user runs each job, without changing my notebooks code?

  
  
Posted 15 days ago
Votes Newest

Answers 4


Hi, I don't think so, because that will mean I have to send the credentials themselves from my users to the remote machine on every run which is insecure, If you had some temporary token I can send, or a way just to send the username and have the sensitive credentifals be separate from it , it would be ideal

  
  
Posted 15 days ago

Hi CrookedMonkey33 , you can also set the credentials with an env variable. Would that work?

  
  
Posted 15 days ago

anyway I can catch that token so I can use it directly? I looked throught he documentation and found no way to access it

  
  
Posted 15 days ago

From my knowledge the SDK uses the key/secret pair to create a token and then uses a token to communicate with the server.

But your use case would require customization I think

  
  
Posted 15 days ago