Update architecture.md
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@ -176,12 +176,8 @@ available desired resources.
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The Kubernetes node has the services necessary to run application containers and
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be managed from the master systems.
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Each node runs a container runtime (like docker, rkt, or Hyper). The container
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runtime is responsible for downloading images and running containers.
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#### Kubelet
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The most important and most prominent controller in Kubernetes is the Kubelet, which is the
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primary implementer of the Pod and Node APIs that drive the container execution layer. Without
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these APIs, Kubernetes would just be a CRUD-oriented REST application framework backed by a
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@ -201,11 +197,21 @@ concerns, and migration from physical/virtual machines. The Pod primitive is key
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[primary benefits](https://kubernetes.io/docs/whatisk8s/#why-containers) of deployment on modern
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cloud platforms, such as Kubernetes.
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Kubelet also currently links in the [cAdvisor](https://github.com/google/cadvisor) resource monitoring
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agent.
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#### Container runtime
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TODO
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Each node runs a container runtime, which is responsible for downloading images and running containers.
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#### `kube-proxy`
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Kubelet does not link in the base container runtime. Instead, we're defining a [Container Runtime Interface]
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(container-runtime-interface-v1.md) to control the underlying runtime and facilitate pluggability of that layer.
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This decoupling is needed in order to maintain clear component boundaries, facilitate testing, and facilitate pluggability.
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Runtimes supported today, either upstream or by forks, include at least docker (for Linux and Windows),
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[rkt](https://kubernetes.io/docs/getting-started-guides/rkt/),
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[cri-o](https://github.com/kubernetes-incubator/cri-o), and [frakti](https://github.com/kubernetes/frakti).
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#### Kube Proxy
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The [service](https://kubernetes.io/docs/user-guide/services/) abstraction provides a way to
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group pods under a common access policy (e.g., load-balanced). The implementation of this creates
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