Redis deploy ARM template and doc

deploy/az/redis/readme.md

@@ -0,0 +1,31 @@
+# Deploying Redis Cache
+
+The ARM template `redisdeploy.json` and its parameter file (`redisdeploy.parameters.json`) are used to deploy following resources:
+
+1. One Redis Cache
+
+## Editing sbusdeploy.parameters.json file
+
+You can edit the `redisdeploy.parameters.parameters.json` file to set your values, but is not needed. The only parameter than can
+be set is:
+
+1. `namespaceprefix` is a string that is used to create the Redis namespace. ARM script creates unique values by appending a unique string to this parameter value, so you can leave the default value.
+
+## Deploy the template
+
+Once parameter file is edited you can deploy it using [create-resources script](../readme.md).
+
+i. e. if you are in windows, to deploy sql databases in a new resourcegroup located in westus, go to `deploy\az` folder and type:
+
+```
+create-resources.cmd redis\redisdeploy newResourceGroup -c westus
+```
+
+
+
+
+
+
+
+
+

deploy/az/redis/redisdeploy.json

@@ -0,0 +1,42 @@
+{
+    "$schema": "https://schema.management.azure.com/schemas/2015-01-01/deploymentTemplate.json#",
+    "contentVersion": "1.0.0.0",
+    "parameters": {
+        "namespaceprefix": {
+            "type": "string",
+            "metadata": {
+                "description": "Name of the Redis namespace"
+            }
+        }
+    },
+    "variables": {
+        "location": "[resourceGroup().location]",
+        "namespaceprefix": "[concat(parameters('namespaceprefix'), uniqueString(resourceGroup().id))]",
+        "sbVersion": "2016-04-01"
+    },
+    "resources": [
+        {
+            "type": "Microsoft.Cache/Redis",
+            "name": "[variables('namespaceprefix')]",
+            "apiVersion": "[variables('sbVersion')]",
+            "location": "[variables('location')]",
+            "scale": null,
+            "properties": {
+                "redisVersion": "3.2.7",
+                "sku": {
+                    "name": "Standard",
+                    "family": "C",
+                    "capacity": 1
+                },
+                "enableNonSslPort": true,
+                "redisConfiguration": {
+                    "maxclients": "1000",
+                    "maxmemory-reserved": "50",
+                    "maxfragmentationmemory-reserved": "50",
+                    "maxmemory-policy": "volatile-lru",
+                    "maxmemory-delta": "50"
+                }
+            }
+        }
+    ]
+}

deploy/az/redis/redisdeploy.parameters.json

@@ -0,0 +1,9 @@
+{
+    "$schema": "https://schema.management.azure.com/schemas/2015-01-01/deploymentParameters.json#",
+    "contentVersion": "1.0.0.0",
+    "parameters": {
+        "namespaceprefix": {
+			"value": "eshopredis"
+		}
+    }
+}

deploy/readme.md

@@ -19,6 +19,7 @@ Using `docker-machine` is the recommended way to create a VM with docker install
 
 1. [Deploying SQL Server and databases](az/sql/readme.md)
 2. [Deploying Azure Service Bus](az/servicebus/readme.md)
+3. [Deploying Redis Cache](az/redis/readme.md)