Add experimental environment: tensorflow-serving (#1212)

environments/tensorflow-serving/README.md

@@ -0,0 +1,29 @@
+# Fission: Tensorflow Serving Environment
+
+This is the Tensorflow Serving environment for Fission.
+
+It's a Docker image containing a Go runtime, along with a tensorflow serving service.
+
+## How it works
+
+Tensorflow Serving is an serving service that supports both RESTful API and gRPC endpoints. In current implementation,
+Go server launches `tensorflow_model_server` to load in model during specialization. As long as the Go server receives
+requests from router it creates a reverse proxy that connects to RESTful API endpoint exposed by tensorflow_model_server
+and get response from the upstream server for user.
+
+## Build this image
+
+```
+docker build -t USER/tensorflow-serving . && docker push USER/tensorflow-serving
+```
+
+## Using the image in fission
+
+You can add this customized image to fission with "fission env create":
+
+```
+fission env create --name tensorflow --image USER/tensorflow-serving --version 2
+```
+
+After this, fission functions that have the env parameter set to the
+same environment name as this command will use this environment.