I see. I'm guessing you have pretty extensive use in the form of artifacts/debug samples. You can lower the storage usage by deleting some experiments/models though the UI. That should free up some space 🙂
Thank you guys.
SuccessfulKoala55 is there any way to configure clearml server to save debug images and artifacts to s3?
specially /opt/clearml/data/fileserver which is taking 102GB
DeliciousStarfish67 , are you running your ClearML server on the aws instance?
You can always delete the data. Each folder in /opt/clearml/data/fileserver/
represents the stored outputs of an experiment. If you no longer need the files you can delete them
Certainly - you do that directly on the clients (SDK, agents)
DeliciousStarfish67 the math is simple - if you want the experiments outputs (in this case specifically - the debug images, uploaded artifacts and models), they simply take up storage space (as png/jpg images and whatever files you uploaded as artifacts or models). If you only want the metrics for each experiments, they are stored in a different location and so will not be affected if you delete fileserver data
Can you connect directly to the instance? If so, please check how large /opt/clearml is on the machine and then see the folder distribution
So your saying its expected and if I can't delete this data the only option is to keep increasing the volume size?
Here:
https://clear.ml/docs/latest/docs/configs/clearml_conf#agent-section
What you're looking for is this:sdk.development.default_output_uri
Also configure your api.files_server
in ~/clearml.conf
to point to your s3 bucket as well 🙂