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Add additional details to the AWS documentation
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@ -19,10 +19,12 @@ or if you prefer ```curl```
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export KUBERNETES_PROVIDER=aws; curl -sS https://get.k8s.io | bash
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export KUBERNETES_PROVIDER=aws; curl -sS https://get.k8s.io | bash
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```
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```
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NOTE: This script calls [cluster/kube-up.sh](https://github.com/GoogleCloudPlatform/kubernetes/blob/master/cluster/kube-up.sh)
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NOTE: The script will provision a new VPC and a 4 node k8s cluster in us-west-2 (Oregon). It'll also try to create or
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which in turn calls [cluster/aws/util.sh](https://github.com/GoogleCloudPlatform/kubernetes/blob/master/cluster/aws/util.sh)
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reuse a keypair called "kubernetes", and IAM profiles called "kubernetes-master" and "kubernetes-minion". If these
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using [cluster/aws/config-default.sh](https://github.com/GoogleCloudPlatform/kubernetes/blob/master/cluster/aws/config-default.sh).
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already exist, make sure you want them to be used here.
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By default, the script will provision a new VPC and a 4 node k8s cluster in us-west-2 (Oregon). It'll also try to create or reuse
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a keypair called "kubernetes", and IAM profiles called "kubernetes-master" and "kubernetes-minion". If these already exist, make
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sure you want them to be used here. You can override the variables defined in config-default.sh to change this behavior.
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Once the cluster is up, it will print the ip address of your cluster, this process takes about 5 to 10 minutes.
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Once the cluster is up, it will print the ip address of your cluster, this process takes about 5 to 10 minutes.
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@ -134,3 +136,6 @@ Take a look at [next steps](https://github.com/GoogleCloudPlatform/kubernetes/tr
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### Cloud Formation [optional]
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### Cloud Formation [optional]
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There is a contributed [example](aws-coreos.md) from [CoreOS](http://www.coreos.com) using Cloud Formation.
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There is a contributed [example](aws-coreos.md) from [CoreOS](http://www.coreos.com) using Cloud Formation.
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### Further reading
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Please see the [Kubernetes docs](https://github.com/GoogleCloudPlatform/kubernetes/tree/master/docs) for more details on administering and using a Kubernetes cluster.
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