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[Control Center] Add cloud resources recommendation #4175

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merged 6 commits into from
Mar 13, 2025
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[Control Center] Add cloud resources recommendation #4175

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336b2e1
Add cloud resources admonition block
MatthewVaadin Mar 12, 2025
9df8134
Address Vale messages
MatthewVaadin Mar 13, 2025
4f66199
Disable vale spelling rule for vCPUs
MatthewVaadin Mar 13, 2025
43e12b9
Merge branch 'latest' into control-center/838/resources
MatthewVaadin Mar 13, 2025
8aaac7d
Disable vale spelling rule for vCPUs
MatthewVaadin Mar 13, 2025
d6c29f7
Merge remote-tracking branch 'origin/control-center/838/resources' in…
MatthewVaadin Mar 13, 2025
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15 changes: 14 additions & 1 deletion articles/control-center/getting-started/index.adoc
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Expand Up @@ -17,7 +17,20 @@ Control Center is designed to run in a production environment. For local develop

== Prerequisites

Before you begin, make sure you have a Kubernetes cluster running and available. It can be a service like https://cloud.google.com/kubernetes-engine[Google Kubernetes Engine (GKE)], https://aws.amazon.com/eks[Amazon EKS], or https://azure.microsoft.com/en-us/products/kubernetes-service[Azure AKS].
Before you begin, make sure you have a Kubernetes cluster running and available. It can be a service like https://cloud.google.com/kubernetes-engine[Google Kubernetes Engine (GKE)], https://aws.amazon.com/eks[Amazon EKS], https://azure.microsoft.com/en-us/products/kubernetes-service[Azure AKS], https://www.digitalocean.com/[DigitalOcean].

// Allowing vCPUs
pass:[<!-- vale Vale.Spelling = NO -->]

[IMPORTANT]
.Cloud Resources
====
You need to ensure that your cluster provides sufficient resources for Control Center. This includes CPU, memory, and storage. The exact requirements depend on the size and number of applications you plan to deploy and the traffic they'll receive.

For example, a node with 4 vCPUs and 8 GB of memory should be sufficient for Control Center and an application created with https://start.vaadin.com[Vaadin Start].
====

pass:[<!-- vale Vale.Spelling = YES -->]

You'll also need to install https://helm.sh/[Helm]. It's a Kubernetes package manager that simplifies application deployment and management. Make sure it's configured to interact with your cluster.

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