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SlipperyRaven39
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1 Question, 4 Answers
  Active since 15 December 2023
  Last activity 11 months ago

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Hello. In which YAML files for Kubernetes and where should I specify the AWS file_server and credentials for clearml-agent so that when running tasks remotel...
11 months ago
0 Hello. In Which Yaml Files For Kubernetes And Where Should I Specify The Aws File_Server And Credentials For Clearml-Agent So That When Running Tasks Remotely In The Queue, The Artifacts Are Saved In The S3 Bucket?

Hello @<1523702000586330112:profile|FierceHamster54>
We specified credantials of s3 bucket in clearml.fileserverSecret and clearml.fileserverKey in values.yml of clearml and specified adress of s3 bucket in fileServerUrlReference in values.yml of clearml-agent.

When we run the task remotely we get an error:

clearml.storage - ERROR - Failed creating storage object s3:// Reason: Missing key and secret for S3 storage access ( s3://)
clearml.metrics - WARNING - Failed uploading to s3:// ...

11 months ago
0 Hello. In Which Yaml Files For Kubernetes And Where Should I Specify The Aws File_Server And Credentials For Clearml-Agent So That When Running Tasks Remotely In The Queue, The Artifacts Are Saved In The S3 Bucket?

@<1523702000586330112:profile|FierceHamster54> sorry, we got the same error ((

from clearml import Task

task = Task.init(project_name='example',  task_name='task template')

task = Task.current_task()
task.setup_aws_upload(bucket="bucket",
                      host="host:port",
                      key="key",
                      secret="secret",
                      multipart=True, secure=False,verify=True)

task.execute_remotely(queue_name='default')

task.upload_artifact("list...
11 months ago