Interesting. How do you do PVC? by using the yaml template optionn?

Gitlab has support for S3 based cache btw.

One option is definitely having a base image that has the things needed. Anything else? Thanks!

This is a bit complicated, to get the cache to kick in you have to mount an NFS file into the pod as the cache (to create a persistent cache)
Basically, spin NFS pod to store the cache, change the glue job template yaml to mount it into the pod (see default cache folders:
/root/.cache/pip and /root/.clearml/pip-download-cache)
Make sense ?

Gitlab has support for S3 based cache btw.

This might still be considered "slow" compared to local-dist/cluster mount

Would adding support for some sort of post task script help? Is something already there?

Interesting, can you expand on the use case? (currently there is only pre-task script, for setup)

pip cache & git cache & venvs cache
Are all supported, you just need to map the folders.
If you do not want to spin a PVC with NFS mount, you can just mount an S3 bucket with s3fs as part of the container extra bash script,
https://github.com/allegroai/clearml-agent/blob/b39b54bbafab39e6731cb742fdf317bc6dcae54a/docs/clearml.conf#L140

s3 FUSE fuse filesystems:
https://github.com/kahing/goofys
https://github.com/s3fs-fuse/s3fs-fuse

WDYT?

A few examples:
https://medium.com/@Sushil_Kumar/readwritemany-persistent-volumes-in-google-kubernetes-engine-a0b93e203180
https://docs.openshift.com/enterprise/3.1/install_config/storage_examples/shared_storage.html

Would adding support for some sort of post task script help? Is something already there?

Yep 🙂

IF there’s a post-task script, I can add a way to zip and upload pip cache etc to s3 - as in do any caching that I want without having first class support in clearml