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doc: add mlflow auth information to docs #417

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doc: add mlflow auth information to docs
nbowen3 Dec 9, 2025
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Update docs/content/using-tesseracts/advanced.md
nbowen3 Dec 9, 2025
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9 changes: 9 additions & 0 deletions docs/content/using-tesseracts/advanced.md
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Expand Up @@ -66,6 +66,15 @@ As an alternative to the MLflow setup we provide, you can point your Tesseract t
$ tesseract serve --env=TESSERACT_MLFLOW_TRACKING_URI="..." metrics
````

Note that if your MLFlow server uses basic auth, you need to populate the `MLFLOW_TRACKING_USERNAME` and `MLFLOW_TRACKING_PASSWORD`
for the Tesseract to be able to authenticate to it.

```bash
$ tesseract serve --env=TESSERACT_MLFLOW_TRACKING_URI="..." \
--env=MLFLOW_TRACKING_USERNAME="..." --env=MLFLOW_TRACKING_PASSWORD="..." \
metrics
````

## Volume mounts and user permissions

When mounting a volume into a Tesseract container, default behavior depends on the Docker engine being used. Specifically, Docker Desktop, Docker Engine, and Podman have different ways of handling user permissions for mounted volumes.
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