Open jal06 opened 4 years ago
Is there a way to install Seldom in this existing cluster?
I was expecting that Seldon should be installed in Kubeflow 1.1 because
In this documentation, it is written that Seldon Core Serving has stable status in Kubeflow 1.1.
Seldon was already deployed by kfctl in version 1.0.0. (but I didn't try it)
Maybe I could try to install Seldon as explained here But I am afraid that it could be painful to maintain later if we install Seldon in the same cluster as Kubeflow.
That's why if Seldon is not deployed when using blueprints for Kubeflow, a better solution should be to deploy Seldon in another standalone K8S cluster. WDYT ?
/cc @jlewi Can you share some context about this change?
Does it make sense to install both KFServing and Seldon by default?
In general, I think we need to move in the direction of making it more composable and letting people select the applications they want.
@jlewi, I don't know yet which serving tool I could use. I tried to use the serving tools which are proposed in the documentation .
I tried TFServing and I had some problems (error 404 when sending a prediction request : issue 5396 ) I tried KFServing and I had also a problem (error 404 when sending a prediction request : issue 1199 ) That's the reason why I wanted then to try Seldon.
@jal06 I think not including Seldon by default is working as intended. If you want to use Seldon with KF 1.1 then I think you can follow Seldon's instructions to install Seldon in your cluster.
If you point us at the docs we can try to get them updated.
I deployed Kubeflow 1.1 on GCP following the documentation
Then I wanted to run the simple example from this documentation
When creating the SeldonDeployment, I get the error below :
error: unable to recognize "seldon-test.yaml": no matches for kind "SeldonDeployment" in version "machinelearning.seldon.io/v1"
If I search for seldon objects, nothing is found
kubectl get all --all-namespaces | grep seldon
kubectl get all --all-namespaces | grep Seldon
I create an issue in the repo gcp-blueprints because it looks that seldon is not deployed when using blueprints for Kubeflow
or did I miss something ?