Andrew Scribner

@Barteus looking at this now. I see the issue raised but am not sure what your desired behaviour is from a fix. If someone has `juju deploy`'d mlflow and seldon,...

Summary of my understanding before I make any fixes # Current state Any `SeldonDeployment` that uses a model stored in s3 must be provided with s3 credentials (endpoint, access/secret key,...

The **Near Term** solution is up for review in canonical/mlflow-operator#27, and a gist of how I tested with it (following @Barteus's notebook pretty closely) is [here](https://gist.github.com/ca-scribner/30216b73ab14effb9cb08b8a81bfe5ec). Note that when I...

Re the `itsdangerous` bug, you can use a more recent image for your classifier with this patched. For example, you can do: ``` apiVersion: machinelearning.seldon.io/v1alpha2 kind: SeldonDeployment metadata: name: mlflow...

I tried to reproduce this and got slightly different results. In my case, I had `dex` go into error during startup, plus several charms go into `Blocked` (which is also...

Thanks! We'll check it out next week.

cc @DomFleischmann @Barteus

I think with the 1.6 release this should no longer be an issue. We can reopen if it comes back up

@brendangadd and @zachomedia have previously discussed automatically updating user's running notebook servers with updated images. This would cause some interruption to the users (basically dumps anything running in memory, also...

Had a few minutes today and was thinking about this. Here are a few snippets that might help: ### Getting lists of in-use images * get all images used across...