Add RHOS deployment instructions (IBM#32)

README.md

@@ -35,11 +35,12 @@ _Note:_ Although this model supports different input data formats, the inference
 [installation instructions](https://docs.docker.com/install/) for your system.
 * The minimum recommended resources for this model is 2GB Memory and 2 CPUs.
 
-# Steps
+# Deployment options
 
-1. [Deploy from Docker Hub](#deploy-from-docker-hub)
-2. [Deploy on Kubernetes](#deploy-on-kubernetes)
-3. [Run Locally](#run-locally)
+* [Deploy from Docker Hub](#deploy-from-docker-hub)
+* [Deploy on Red Hat OpenShift](#deploy-on-red-hat-openshift)
+* [Deploy on Kubernetes](#deploy-on-kubernetes)
+* [Run Locally](#run-locally)
 
 ## Deploy from Docker Hub
 
@@ -52,6 +53,10 @@ $ docker run -it -p 5000:5000 codait/max-breast-cancer-mitosis-detector
 This will pull a pre-built image from Docker Hub (or use an existing image if already cached locally) and run it.
 If you'd rather checkout and build the model locally you can follow the [run locally](#run-locally) steps below.
 
+## Deploy on Red Hat OpenShift
+
+You can deploy the model-serving microservice on Red Hat OpenShift by following the instructions for the OpenShift web console or the OpenShift Container Platform CLI [in this tutorial](https://developer.ibm.com/tutorials/deploy-a-model-asset-exchange-microservice-on-red-hat-openshift/), specifying `codait/max-breast-cancer-mitosis-detector` as the image name.
+
 ## Deploy on Kubernetes
 
 You can also deploy the model on Kubernetes using the latest docker image on Docker Hub.