RClone logs sensitive values by default

[gtrog]

Describe the bug

An earlier PR (#3203) increased the verbosity that rclone logs with, which, in turns happens to also log sensitive values like S3 secret key configured via environment variables:

2022/08/01 17:27:54 DEBUG : Setting access_key_id="<sensitive value>" for "s3" from environment variable RCLONE_CONFIG_S3_ACCESS_KEY_ID
2022/08/01 17:27:54 DEBUG : Setting secret_access_key="<sensitive value>" for "s3" from environment variable RCLONE_CONFIG_S3_SECRET_ACCESS_KEY

Would it be possible to make the verbosity configurable and verbosity level 1 (-v) by default? The verbosity can also be configured with RCLONE_VERBOSE=(0|1|2), but, since the argument -vv is explicitly passed in the Dockerfile, this gets ignored. I currently can't figure out a workaround for this while I wait for a fix.

To reproduce

1. Configure Seldon Core to use AWS S3 secrets from a Secret resource that specifies RCLONE_CONFIG_S3_... config values
2. Deploy a model that references this AWS S3 secret
3. Check the logs for the initializer container (in my case it was a tensorflow model, so the container was tfserving-model-initializer)

Expected behaviour

By default, logs don't log DEBUG messages, which may expose sensitive values, but, verbosity is configurable if needed for debugging

Environment

• Cloud Provider: GKE
• Kubernetes Cluster Version [Output of kubectl version]

Client Version: version.Info{Major:"1", Minor:"21", GitVersion:"v1.21.0", GitCommit:"cb303e613a121a29364f75cc67d3d580833a7479", GitTreeState:"clean", BuildDate:"2021-04-08T16:31:21Z", GoVersio
n:"go1.16.1", Compiler:"gc", Platform:"windows/amd64"}
Server Version: version.Info{Major:"1", Minor:"22", GitVersion:"v1.22.8-gke.202", GitCommit:"88deae00580af268497b9656f216cb092b630563", GitTreeState:"clean", BuildDate:"2022-06-03T03:27:52Z",
GoVersion:"go1.16.14b7", Compiler:"gc", Platform:"linux/amd64"}

• Deployed Seldon System Images: [Output of kubectl get --namespace seldon-system deploy seldon-controller-manager -o yaml | grep seldonio]

docker.io/seldonio/seldon-core-operator:1.14.0

Model Details

Tensorflow model from a private repo