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src/quickstart/provider/azure-acs/boot.md

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# Booting Azure Container Service
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## Prerequisites
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1. Azure Accout - If you do not already have a Azure Cloud account, you can start a trial with $200 of free credit [here](https://azure.microsoft.com/en-us/free/). After completing sign up, you must add your billing information.
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### Path 2: UI
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Sign into the [Azure Portal](https://portal.azure.com) and create a new Azure Container Service:
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![](images/step1.png)
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Select "Resource Manager" for the deployment model:
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![](images/step2.png)
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Provide basic settings for your Kubernetes cluster.
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* User name: this is the unix user name that will be added to all master and worker nodes
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* SSH public key: provide a public key that will be associated with the user name specified above
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* Subscription: choose the Azure Subscription that will be charged for your compute resources
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* Resource group: create a new resource group and give the group a unique name
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* Location: choose an Azure location for your cluster
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When you have filled out the information, click "Ok".
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![](images/step3.png)
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The next step takes the Service Principle name and password generated using the Azure CLI.
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* Service Priciple Client ID: the name of the principle created above e.g. `http://workflow-on-acs`
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* Service Priciple Client Secret: the password returned by the Azure CLI e.g. 349d4728-438a-52a5-ad25-a740aa0bd240
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![](images/step4.png)
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Next, configure the number of worker nodes, the node size, and DNS prefix for your cluster.
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Worker nodes should have at least 7GB of available RAM.
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Click "Ok" to continue.
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![](images/step5.png)
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Review the cluster configuration and click "Ok". After clicking "Purchase" on the next screen you will be returned to the Azure Portal dashboard.
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![](images/step6.png)
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The Kubernetes cluster will take a few minutes to complete provisioning and configure itself. To monitor the progress of the deployment select the "Resource Group" from the nav on the left, then select the cluster name:
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![](images/step8.png)
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![](images/step9.png)
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## Connect to your Kubernetes Cluster
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1. Find hostname for the master
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