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update user_guide #646

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Apr 15, 2018
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update user_guide #646

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lluunn Apr 11, 2018
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lluunn Apr 14, 2018
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Expand Up @@ -322,6 +322,13 @@ inception LoadBalancer 10.35.255.136 ww.xx.yy.zz 9000:30936/TCP 28m

In this example, you should be able to use the inception_client to hit ww.xx.yy.zz:9000

The model at gs://kubeflow-models/inception is publicly accessible. However, if your environment doesn't
have google cloud credential setup, TF serving will not be able to read the model.
See this [issue](https://github.com/kubeflow/kubeflow/issues/621) for example.
To setup the google cloud credential, you should either have the environment variable
`GOOGLE_APPLICATION_CREDENTIALS` pointing to the credential file, or run `gcloud auth login`.
See [doc](https://cloud.google.com/docs/authentication/) for more detail.

### Serve a model using Seldon
[Seldon-core](https://github.com/SeldonIO/seldon-core) provides deployment for any machine learning runtime that can be [packaged in a Docker container](https://github.com/SeldonIO/seldon-core/blob/master/docs/wrappers/readme.md).

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