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kubeflow / example-seldon

Example for end-to-end machine learning on Kubernetes using Kubeflow and Seldon Core
Apache License 2.0
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Wrapping model for MNIST Scikit-learn doesn't work #13

Closed smolina74 closed 6 years ago

smolina74 commented 6 years ago

When trying to serve the MNIST Scikit-learn model (kubeflow-seldon example), using the latest code there (which is using s2i for building images) I'm getting the following error:

santiago@santiago-Inspiron-5559:~$ kubectl logs seldon-sk-deploy-wc9qg-927719684 main Connecting to github.com (192.30.253.112:443) wget: can't execute 'ssl_helper': No such file or directory wget: error getting response: Connection reset by peer tar: can't open 'source-to-image-v1.1.9a-40ad911d-linux-amd64.tar.gz': No such file or directory Cannot connect to the Docker daemon at tcp://127.0.0.1:2375. Is the docker daemon running? Cannot connect to the Docker daemon at tcp://127.0.0.1:2375. Is the docker daemon running? CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES ./wrap.sh: line 14: ./s2i: not found REPOSITORY TAG IMAGE ID CREATED SIZE Pushing image to santiagomol40/skmnistclassifier_runtime:0.1 Login Succeeded The push refers to a repository [docker.io/santiagomol40/skmnistclassifier_runtime] An image does not exist locally with the tag: santiagomol40/skmnistclassifier_runtime

Looks like the container in charge of running s2i doesn't have SSL support.

ukclivecox commented 6 years ago

There are two issues here. SSL needed as you say and also an underlying issue with DOCKER_HOST values not working with s2i. https://github.com/openshift/source-to-image/issues/871

Should be able to push a fix for both.