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Acrolinx score improvement
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articles/aks/operator-best-practices-cluster-isolation.md

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@@ -80,7 +80,7 @@ With logical isolation, you can use a single AKS cluster for multiple workloads,
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Logical separation of clusters usually provides a higher pod density than physically isolated clusters, with less excess compute capacity sitting idle in the cluster. When combined with the Kubernetes cluster autoscaler, you can scale the number of nodes up or down to meet demands. This best practice approach minimizes costs by running only the required number of nodes.
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Kubernetes environments aren't completely safe for hostile multi-tenant usage. In a multi-tenant environment, multiple tenants work on a shared infrastructure. If all tenants can't be trusted, you need extra planning to prevent tenants from impacting the security and service of others.
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Kubernetes environments aren't entirely safe for hostile multi-tenant usage. In a multi-tenant environment, multiple tenants work on a shared infrastructure. If all tenants can't be trusted, you need extra planning to prevent tenants from impacting the security and service of others.
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Other security features, like Kubernetes RBAC for nodes, efficiently block exploits. For true security when running hostile multi-tenant workloads, you should only trust a hypervisor. The security domain for Kubernetes becomes the entire cluster and not an individual node.
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> Minimize the use of physical isolation for each separate team or application deployment and use *logical* isolation instead.
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Physically separating AKS clusters is a common approach to cluster isolation. In this isolation model, teams or workloads are assigned their own AKS cluster. While physical isolation might look like the easiest way to isolate workloads or teams, it adds management and financial overhead. With physically isolated clusters, you must maintain multiple clusters and individually provide access and assign permissions. You are also billed for each individual node.
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Physically separating AKS clusters is a common approach to cluster isolation. In this isolation model, teams or workloads are assigned their own AKS cluster. While physical isolation might look like the easiest way to isolate workloads or teams, it adds management and financial overhead. With physically isolated clusters, you must maintain multiple clusters and individually provide access and assign permissions. You're also billed for each individual node.
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![Physical isolation of individual Kubernetes clusters in AKS](media/operator-best-practices-cluster-isolation/physical-isolation.png)
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Physically isolated clusters usually have a low pod density. Since each team or workload has their own AKS cluster, the cluster is often over-provisioned with compute resources. Often, a small number of pods are scheduled on those nodes. Unclaimed node capacity can't be used for applications or services in development by other teams. These excess resources contribute to the extra costs in physically isolated clusters.
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Physically isolated clusters usually have a low pod density. Since each team or workload has their own AKS cluster, the cluster is often over-provisioned with compute resources. Often, a few pods are scheduled on those nodes. Unclaimed node capacity can't be used for applications or services in development by other teams. These excess resources contribute to the extra costs in physically isolated clusters.
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## Next steps
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