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articles/aks/cluster-configuration.md

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With a `containerd`-based node and node pools, instead of talking to the `dockershim`, the kubelet talks directly to `containerd` using the CRI (container runtime interface) plugin, removing extra hops in the data flow when compared to the Docker CRI implementation. As such, you see better pod startup latency and less resource (CPU and memory) usage.
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By using `containerd` for AKS nodes, pod startup latency improves and node resource consumption by the container runtime decreases. These improvements through this new architecture enables kubelet communicating directly to `containerd` through the CRI plugin. While in a Moby/docker architecture, kubelet communicates to the `dockershim` and docker engine before reaching `containerd`, therefore having extra hops in the data flow.
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By using `containerd` for AKS nodes, pod startup latency improves and node resource consumption by the container runtime decreases. These improvements through this new architecture enable kubelet communicating directly to `containerd` through the CRI plugin. While in a Moby/docker architecture, kubelet communicates to the `dockershim` and docker engine before reaching `containerd`, therefore having extra hops in the data flow.
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![Docker CRI 2](media/cluster-configuration/containerd-cri.png)
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When you create a new cluster or add a new node pool to an existing cluster, by default the OS disk size is determined by the number for vCPUs. The number of vCPUs is based on the VM SKU, and in the following table we list the default values:
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|VM SKU Cores (vCPUs)| Default OS Disk Tier | Provisioned IOPS | Provisioned Throughput (Mpbs) |
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|VM SKU Cores (vCPUs)| Default OS Disk Tier | Provisioned IOPS | Provisioned Throughput (Mbps) |
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|--|--|--|--|
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| 1 - 7 | P10/128G | 500 | 100 |
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| 8 - 15 | P15/256G | 1100 | 125 |

articles/aks/use-oidc-issuer.md

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## Next steps
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* See [configure creating a trust relationship between an app and an external identity provider](../active-directory/develop/workload-identity-federation-create-trust.md) to understand how a federated identity credential creates a trust relationship between an application on your cluster and an external identity provider.
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* Review [Azure AD workload identity][azure-ad-workload-identity-overview] (preview). This authentication method integrates with the Kubernetes native capabilities to federate with any external identity providers on behalf of the application.
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* See [Secure pod network traffic][secure-pod-network-traffic] to understand how to use the Network Policy engine and create Kubernetes network policies to control the flow of traffic between pods in AKS.
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