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docs: update Tab tags
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@ -6,23 +6,23 @@ Constellation provides all features of a Kubernetes cluster including scaling an
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[During cluster initialization](create.md#the-init-step) you can choose to deploy the [cluster autoscaler](https://github.com/kubernetes/autoscaler). It automatically provisions additional worker nodes so that all pods have a place to run. Alternatively, you can choose to manually scale your cluster up or down:
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<tabs groupId="csp">
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<tabItem value="azure" label="Azure">
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<Tabs groupId="csp">
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<TabItem value="azure" label="Azure">
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1. Find your Constellation resource group.
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2. Select the `scale-set-workers`.
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3. Go to **settings** and **scaling**.
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4. Set the new **instance count** and **save**.
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</tabItem>
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<tabItem value="gcp" label="GCP">
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</TabItem>
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<TabItem value="gcp" label="GCP">
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1. In Compute Engine go to [Instance Groups](https://console.cloud.google.com/compute/instanceGroups/).
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2. **Edit** the **worker** instance group.
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3. Set the new **number of instances** and **save**.
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</tabItem>
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</tabs>
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</TabItem>
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</Tabs>
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## Control-plane node scaling
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@ -30,23 +30,23 @@ Control-plane nodes can **only be scaled manually and only scaled up**!
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To increase the number of control-plane nodes, follow these steps:
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<tabs groupId="csp">
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<Tabs groupId="csp">
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<tabItem value="azure" label="Azure">
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<TabItem value="azure" label="Azure">
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1. Find your Constellation resource group.
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2. Select the `scale-set-controlplanes`.
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3. Go to **settings** and **scaling**.
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4. Set the new (increased) **instance count** and **save**.
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</tabItem>
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<tabItem value="gcp" label="GCP">
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</TabItem>
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<TabItem value="gcp" label="GCP">
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1. In Compute Engine go to [Instance Groups](https://console.cloud.google.com/compute/instanceGroups/).
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2. **Edit** the **control-plane** instance group.
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3. Set the new (increased) **number of instances** and **save**.
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</tabItem>
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</tabs>
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</TabItem>
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</Tabs>
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If you scale down the number of control-planes nodes, the removed nodes won't be able to exit the `etcd` cluster correctly. This will endanger the quorum that's required to run a stable Kubernetes control plane.
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