debugging boot space utilization ?

[cognidotsTest]

I have created Vertex AI Workbench Instance n2-standard-2 (2 vCPUs, 8 GB RAM) .Running a sample ml model on basic titanic dataset . creating dockers within the jupyter notebook  & executing them with in jupyter instance  notebook instance for testing . The instance is just 2 days old . Just curious to understand how 100 GB space boot space is finished in 2 days for Titanic Dataset 😂
Below is the error
pip._vendor.urllib3.exceptions.ProtocolError: ("Connection broken: OSError(28, 'No space left on device')", OSError(28, 'No space left on device'))

wanted to know 
1.What files are store in boot disk 
2.delete files in boot  disk
3.debugging boot disk
4.how to access files in boot disk

[cognidotsTest · Accepted solution]

I was able to debug why boot disk space was utilized 100%. After updating the scripts in the docker  i was re-building  docker image with same image name/tag which created multiple docker images with different image id's .The boot space got occupied due to duplicate docker images.With  docker commands ,retrieved list of unused docker images & later deleted them eventually free up boot disk space. Commands like "docker system df"   to see Docker disk usage details  were  useful  .
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