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Update Expertise Requirements in AKS Documentation
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articles/aks/concepts-clusters-workloads.md

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@@ -40,7 +40,7 @@ The control plane includes the following core Kubernetes components:
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| Component | Description |
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| ----------------- | ------------- |
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| *kube-apiserver* | The API server exposes the underlying Kubernetes APIs and provides the interaction for management tools, such as `kubectl` or the Kubernetes dashboard. |
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| *etcd* | etcd is a highly available key vault store within Kubernetes that helps maintain the state of your Kubernetes cluster and configuration. |
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| *etcd* | etcd is a highly available key-value store within Kubernetes that helps maintain the state of your Kubernetes cluster and configuration. |
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| *kube-scheduler* | When you create or scale applications, the scheduler determines what nodes can run the workload and starts the identified nodes. |
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| *kube-controller-manager* | The controller manager oversees a number of smaller controllers that perform actions such as replicating pods and handling node operations. |
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articles/aks/what-is-aks.md

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# What is Azure Kubernetes Service (AKS)?
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Azure Kubernetes Service (AKS) is a managed Kubernetes service that you can use to deploy and manage containerized applications. You don't need container orchestration expertise to use AKS. AKS reduces the complexity and operational overhead of managing Kubernetes by offloading much of that responsibility to Azure. AKS is an ideal platform for deploying and managing containerized applications that require high availability, scalability, and portability, and for deploying applications to multiple regions, using open-source tools, and integrating with existing DevOps tools.
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Azure Kubernetes Service (AKS) is a managed Kubernetes service that you can use to deploy and manage containerized applications. You need minimal container orchestration expertise to use AKS. AKS reduces the complexity and operational overhead of managing Kubernetes by offloading much of that responsibility to Azure. AKS is an ideal platform for deploying and managing containerized applications that require high availability, scalability, and portability, and for deploying applications to multiple regions, using open-source tools, and integrating with existing DevOps tools.
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This article is intended for platform administrators or developers who are looking for a scalable, automated, managed Kubernetes solution.
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