How to update the logging level of all loggers in clearml?

In 1.0.3, I am able to do task.execute_remotely(clone=True, exit_process=False) and then enqueue. In 1.0.5, it says queue must be specified. Any reason for t...

Is it possible to set an environment variable for a task?

After I have create a task and closed it in a notebook, any activity seems to trigger another task. For example:

Is there a way to do s3 -> s3 copy while doing a dataset? I don’t want to get it to local from s3 and then upload as a dataset to s3

I saw some talk of ClearML + Kedro on reddit. Is that a good approach?

Anyway to make a job fail if the required python version (3.7 vs 3.8 for example) is not available in the agent?

Apart from having packages in requirements.txt, does clearml expect them to be actuall installed to add them as installed packages for a task?

How do people generally handle moving from experimental mode with notebooks and then running pipelines for production training and beyond?

When using docker mode (and specifically k8s glue), what are the options for caching? One option is definitely having a base image that has the things needed...

Anyone doing sagemaker with Clearml - something like the k8s glue but the tasks are pulled into sagemaker training jobs