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Merge pull request #272534 from schaffererin/userstory246061
Updated article to remove contradictory information
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articles/aks/best-practices-performance-scale-large.md

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Kubernetes clients are the applications clients, such as operators or monitoring agents, deployed in the Kubernetes cluster that need to communicate with the kube-api server to perform read or mutate operations. It's important to optimize the behavior of these clients to minimize the load they add to the kube-api server and Kubernetes control plane.
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AKS doesn't expose control plane and API server metrics via Prometheus or through platform metrics. However, you can analyze API server traffic and client behavior through Kube Audit logs. For more information, see [Troubleshoot the Kubernetes control plane](/troubleshoot/azure/azure-kubernetes/troubleshoot-apiserver-etcd).
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You can analyze API server traffic and client behavior through Kube Audit logs. For more information, see [Troubleshoot the Kubernetes control plane](/troubleshoot/azure/azure-kubernetes/troubleshoot-apiserver-etcd).
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LIST requests can be expensive. When working with lists that might have more than a few thousand small objects or more than a few hundred large objects, you should consider the following guidelines:
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As you scale your AKS clusters to larger scale points, keep the following feature limitations in mind:
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* AKS supports scaling up to 5,000 nodes by default for all Standard Tier / LTS clusters. AKS scales your cluster's control plane at runtime based on cluster size and API server resource utilization. If you cannot scale up to the supported limit, enable [control plane metrics (Preview)](./monitor-control-plane-metrics.md) with the [Azure Monitor managed service for Prometheus](../azure-monitor/essentials/prometheus-metrics-overview.md) to monitor the control plane. To help troubleshoot scaling performance or reliability issues, see the following resources:
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* AKS supports scaling up to 5,000 nodes by default for all Standard Tier / LTS clusters. AKS scales your cluster's control plane at runtime based on cluster size and API server resource utilization. If you can't scale up to the supported limit, enable [control plane metrics (Preview)](./monitor-control-plane-metrics.md) with the [Azure Monitor managed service for Prometheus](../azure-monitor/essentials/prometheus-metrics-overview.md) to monitor the control plane. To help troubleshoot scaling performance or reliability issues, see the following resources:
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* [AKS at scale troubleshooting guide](/troubleshoot/azure/azure-kubernetes/aks-at-scale-troubleshoot-guide)
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* [Troubleshoot the Kubernetes control plane](/troubleshoot/azure/azure-kubernetes/troubleshoot-apiserver-etcd)
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