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Convert gcutil to gcloud compute
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@@ -9,14 +9,14 @@ The example below creates a Kubernetes cluster with 4 worker node Virtual Machin
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2. Make sure you can start up a GCE VM. At least make sure you can do the [Create an instance](https://developers.google.com/compute/docs/quickstart#addvm) part of the GCE Quickstart.
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3. Make sure you can ssh into the VM without interactive prompts.
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* Your GCE SSH key must either have no passcode or you need to be using `ssh-agent`.
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* Ensure the GCE firewall isn't blocking port 22 to your VMs. By default, this should work but if you have edited firewall rules or created a new non-default network, you'll need to expose it: `gcutil addfirewall --network=<network-name> --description "SSH allowed from anywhere" --allowed=tcp:22 default-ssh`
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* Ensure the GCE firewall isn't blocking port 22 to your VMs. By default, this should work but if you have edited firewall rules or created a new non-default network, you'll need to expose it: `gcloud compute firewall-rules create --network=<network-name> --description "SSH allowed from anywhere" --allow tcp:22 default-ssh`
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4. You need to have the Google Cloud Storage API, and the Google Cloud Storage JSON API enabled. This can be done in the Google Cloud Console.
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### Prerequisites for your workstation
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1. Be running a Linux or Mac OS X.
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2. You must have the [Google Cloud SDK](https://developers.google.com/cloud/sdk/) installed. This will get you `gcloud`, `gcutil` and `gsutil`.
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2. You must have the [Google Cloud SDK](https://developers.google.com/cloud/sdk/) installed. This will get you `gcloud` and `gsutil`.
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3. Ensure that your `gcloud` components are up-to-date by running `gcloud components update`.
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4. If you want to build your own release, you need to have [Docker
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installed](https://docs.docker.com/installation/). On Mac OS X you can use
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