Refine parameters

datascience/README.md

@@ -1,5 +1,7 @@
 # VM scale set based on the Azure Data Science VM 
-This template creates a VM scale set with a load balancer and public IP address - based on the Azure Data Science VM
+This template creates a VM scale set with a load balancer and public IP address - based on the Azure Data Science VM.
+
+The template creates a load balancer and a public IP address. Inbound NAT pools are defined to route incoming connections to the VMs in the set.
 
 Inbound NAT rules are configured as follows:
 ```

datascience/azuredeploy.parameters.json → datascience/azuredeploy-ubuntu.parameters.json

@@ -12,7 +12,7 @@
       "value": 3
     },
     "adminUsername": {
-      "value": "ubuntu"
+      "value": "dsadmin"
     },
     "adminPassword": {
       "value": "GEN-PASSWORD"

datascience/azuredeploy-windows.parameters.json

@@ -0,0 +1,21 @@
+{
+  "$schema": "http://schema.management.azure.com/schemas/2015-01-01/deploymentParameters.json#",
+  "contentVersion": "1.0.0.0",
+  "parameters": {
+    "vmSku": {
+      "value": "Standard_D1_v2"
+    },  
+    "vmssName": {
+      "value": "GEN-UNIQUE-8"
+    },
+    "instanceCount": {
+      "value": 3
+    },
+    "adminUsername": {
+      "value": "dsadmin"
+    },
+    "adminPassword": {
+      "value": "GEN-PASSWORD"
+    }
+  }
+}

datascience/metadata.json

@@ -1,6 +1,6 @@
 {
   "itemDisplayName": "Deploy a VM Scale Set from the Azure Data Science VM",
-  "description": "",
+  "description": "These templates deploy VM scale sets, using the Azure Data Science VMs as a source image.",
   "githubUsername": "gbowerman",
-  "dateUpdated": "2017-07-06"
+  "dateUpdated": "2017-07-07"
 }