best practices on production deployment?
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Description
I wonder what is a recommended way of deploying `mlmd` in production?
The only piece in documentation about starting gRPC server I found [here](https://www.tensorflow.org/tfx/guide/mlmd#use_mlmd_with_a_remote_grpc_server):
```
bazel run -c opt --define grpc_no_ares=true //ml_metadata/metadata_store:metadata_store_server
```
Did I miss something?
What would be the best approach to deploy `mlmd` in Kubernetes?
Some example manifests / documentation on this could be very helpful.
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