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S3 Compliant Template Configuration

The S3 Compliant template allows users to mount their S3 Compliant Storage within JupyterLab.

JupyterLab DataMount uses rclone to mount S3. Check out their documentation for more details.

Configuration Parameters

To configure a S3 Compliant mount, the following parameters are required:

  • Provider: Checkout rclone documentation for more information.
  • Bucket Name: S3 Name. Will be used in rclone with remote:_bucketname_
  • API Endpoint: S3 Endpoint API url.
  • Region: Region to connect to (eu-north-1 in the example above).
  • Username: AWS Access Key ID.
  • Password: AWS Secret Access Key.
S3

Advanced

RClone configuration
The following configuration is used to mount S3 Compliant storage with rclone:
s3.config:
[s3]
type = s3
provider = _provider_
endpoint = _endpoint_
access_key_id = _username_
secret_access_key = _password_
region = _region_
<br>
Mounted via <br>
```bash
rclone mount --config s3.config s3:_bucketname_ _path_ --vfs-cache-max-size=10G --vfs-read-chunk-size=64M --vfs-cache-mode=writes --allow-other --uid=1000 --gid=100