Include comments and add correct zero state page again
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@@ -127,7 +127,7 @@ If all goes well, you should be able to see the container image listed in the co
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## Create your cluster
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A cluster consists of a master API server and a set of worker VMs called nodes.
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A cluster consists of a master API server and a set of worker VMs called nodes.
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Create a cluster via the Console: *Compute > Container Engine > Container Clusters > New container cluster*. Leave all the options default, and you should get a Kubernetes cluster with three nodes, ready to receive your container image.
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@@ -277,7 +277,7 @@ First, let’s modify the application. On the development machine, edit server.j
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We can now build and publish a new container image to the registry with an incremented tag:
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```shell
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docker build -t gcr.io/PROJECT_ID/hello-node:v2 .
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docker build -t gcr.io/PROJECT_ID/hello-node:v2 .
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gcloud docker push gcr.io/PROJECT_ID/hello-node:v2
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```
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@@ -362,9 +362,20 @@ While this is happening, the users of the services should not see any interrupti
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Hopefully with these deployment, scaling and update features you’ll agree that once you’ve setup your environment (your GKE/Kubernetes cluster here), Kubernetes is here to help you focus on the application rather than the infrastructure.
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## Observe the Kubernetes Web UI (optional)
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With Kubernetes 1.2, a graphical web user interface (dashboard) has been introduced. It is enabled by default for 1.2 clusters.
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This user interface allows you to get started quickly and enables some of the functionality found in the CLI as a more approachable and discoverable way of interacting with the system.
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Enjoy the Kubernetes graphical dashboard and use it for deploying containerized applications, as well as for monitoring and managing your clusters!
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Learn more about the web interface by taking the [Dashboard tour](/docs/user-guide/ui/).
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## That's it! Time to tear it down
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That's it for the demo! So you don't leave this all running and incur charges, let's learn how to tear things down.
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That's it for the demo! So you don't leave this all running and incur charges, let's learn how to tear things down.
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Delete the Deployment (which also deletes the running pods) and Service (which also deletes your external load balancer):
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