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76 × Eureka!Can you point me to the direction maybe?
I already made changes in the clearml-server repo and made my own image for the helm-charts… maybe I could fix this as well
Any idea why?
I’m running “docker build -t clearml-server:1.0 -f docker/build/Dockerfile .”
Do I need to build it on linux maybe?
I see some keys from apiserver that are a couple of hundreds of mb
I see the hosts.conf file in clearml-server, I’m trying to add args and build the image again
Hey I have another question:
How to I use gunicorn in api server?
I see that during the build in the entrypoint.sh you have an env called “CLEARML_USE_GUNICORN”
How do I use it in the helm charts or do I need to build a custom image?
So it’s enough to add hosts.conf inside additionalConfigs?
Maybe this?
It’s the entrypoint file for the docker
but it also has the --create-queue flag but it didn’t create the queue I needed to create it manually
When running with --local True
everything works btw… but locally 🙃
Ok thanks, I’m searching a way to not be dependent on the aws auto scaler script but rather use a k8s job which will run and die after it’s finished thus saving resources
Reqs to the api
Also added the “CLEARML_SUPPRESS_UPDATE_MESSAGE” env which didn’t work…
One of the keys:
b”<class ‘apiserver.database.model.base.GetMixin.GetManyScrollState’>/f4010ba7df0f45dbbea10a71fe568a94"
Returned 400 for users.get_current_user in 3ms, msg=Invalid user (failed loading user)
Some way more k8s native like a job with a base image and the exported task
SuccessfulKoala55 Worked 🙃
Thanks!
SuccessfulKoala55 Seems like apiserver uses redis as cache for ui pagination with a long ttl
Hey, nope I mean TLS certificates