Azure-docs: Where do the log files live?

[swanderz]

[I'd make a pull request and do this myself, but alas, the repo is not public.]

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Document Details

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• ID: d4fd070b-ec93-be29-9361-302d383d6724
• Version Independent ID: b1854f9d-3426-104e-e939-b077075544ac
• Content: Known issues & troubleshooting - Azure Machine Learning service
• Content Source: articles/machine-learning/service/resource-known-issues.md
• Service: machine-learning
• Sub-service: core
• GitHub Login: @j-martens
• Microsoft Alias: jmartens

[j-martens]

@swanderz - thanks for reporting this missing content. We'll look into it. Oops!

[j-martens]

@swanderz - To see some logs, visit Azure portal and go to your workpsace and select Workspace > Experiment > Run > Logs. We've just fixed the docs. #please-close.

[swanderz]

@j-martens love the responsive fix. thanks.

Can I request that more information about the log files be added. Using the logs has been crucial to getting things running in AML. Currently this issue refers to one of the only places in the docs that references what to do when things aren't working as they should. Check a related diatribe of mine from last week.

Here are all the log files I've encountered with my guess as to their source or purpose.

• azureml-logs/
  
  
  
  • 55_batch_execution.txt Docker provisioning log?
  
  
  • 60_control_log.txt Docker node log?
  
  
  • 80_driver_log.txt ???
  
  
  • azureml.log SDK telemetry when set_diagnostics_collection(send_diagnostics=True) is called?
  
  
• logs/azureml/
  
  
  
  • executionlogs.txt streamed status of current Experiment job?
  
  
  • stderrlogs.txt ???
  
  
  • stdoutlogs.txt the console output of the python script?
  
  

[j-martens]

@swanderz - thanks for your feedback. Adding this to our backlog to tackle soon. We appreciate this info so much.