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updates for BYO
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architecture/architecture.adoc

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// * n/a
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[id='architecture']
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= {product-title} Architecture
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= {product-title} architecture
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include::modules/common-attributes.adoc[]
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:context: architecture
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toc::[]

modules/cloud_installations.adoc

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[IMPORTANT]
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====
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In version {product-version}, you can install {product-title} on only Amazon
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Web Services (AWS) or your own hosts.
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Web Services (AWS).
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====
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You can install either a standard cluster or a customized cluster. With a

modules/installation-options.adoc

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[id='installation-options-{context}']
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= Installation options
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{product-title} offers two installation options: fully-managed infrastructure and bring your own
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infrastructure. In version 4.0, the fully-managed option allows you to install a
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cluster in Amazon Web Services (AWS) that runs on Red Hat CoreOS nodes. If you want to
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In {product-title} version 4.0, you can install only clusters that use fully-managed
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infrastructure in Amazon Web Services (AWS). These clusters use Red Hat CoreOS
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nodes as the operating system. Future versions of {product-title} will support
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clusters that run on more cloud providers or using your own infrastructure.
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////
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If you want to
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use any other cloud or install your cluster on-premise, use the bring your own
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infrastructure option to install your cluster on existing Red Hat Enterprise
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Linux (RHEL) hosts.
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////
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The fully-managed option offers full-stack automation to:
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* Manage control plane
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* Manage nodes
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////
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With the bring your own infrastructure option, you have more responsibilities.
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You must provide the hosts and update RHEL on them. {product-title} provides:
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* Managed control plane
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* Ansible to manage kubelet and container runtime
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////
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With both installation types, installation and upgrade both use an Operator
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Installation and upgrade both use an Operator
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that constantly reconciles component versions as if it were any other Kubernetes
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controller.

modules/machine-api-overview.adoc

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[id='machine-api-overview-{context}']
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= Machine API overview
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On fully-managed {product-title} clusters, the Machine API performs all node
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On {product-title} version 4.0 clusters, the Machine API performs all node
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management actions after the cluster installation finishes. Because of this
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system, {product-title} version 4.0 offers an elastic, dynamic provisioning
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method.

modules/node-management.adoc

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// * architecture/architecture.adoc
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[id='node-management-{context}']
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= Node management in fully-managed {product-title}
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= Node management in {product-title}
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The fully-managed version of {product-title} version 4.0 integrates management of
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{product-title} version 4.0 integrates management of
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the container operating system and cluster management. Because the cluster manages
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both its updates and updates to RHCOS, {product-title} provides an opinionated
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both its updates and updates to Red Hat CoreOS, {product-title} provides an opinionated
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lifecycle management experience that simplifies the orchestration of upgrades.
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{product-title} employs three DaemonSets and controllers to simplify node management:

modules/operators-overview.adoc

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[id='second-level-operators-{context}']
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== Second-level Operators in {product-title}
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The cluster version Operator, when we talk about payload manifests, is a
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The Cluster Version Operator, when we talk about payload manifests, is a
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second-level Operator, the Operators that actually manage {product-title} as if
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it were a native Kubernetes application. Second-level Operators are not a
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codified concept, but the namespace where your code exists, the service accounts
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and pull secret that drives the operation of the Operator, and the Operator deployment.
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Second-level Operators write out to a CRD resource called the ClusterOperator
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that allows the cluster version Operator to understand the progress of the
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that allows the Cluster Version Operator to understand the progress of the
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managed component's deployment.
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[id='OLM-operators-{context}']

modules/update-service-overview.adoc

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== The {product-title} update service
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The {product-title} update service is the hosted service that provides over the air updates to both
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{product-title} and RHCOS. It provides a graph, or diagram that contain
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{product-title} and Red Hat CoreOS. It provides a graph, or diagram that contain
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_vertices_ and the _edges_ that connect them, of component Operators. The edges
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in the graph show which versions you can safely upgrade to, and the vertices
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vertices are update payloads that specify the intended state of the managed cluster components.
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The cluster versionOperator checks with the {product-title} update service and determines valid upgrades and upgrade paths
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The Cluster Version Operator checks with the {product-title} update service and determines valid upgrades and upgrade paths
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based on current component versions and information in the graph. If you
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configure it to do so, the {product-title} update service sends the release artifacts that it needs to
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perform the upgrade to your image registry, and the cluster version Operator
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perform the upgrade to your image registry, and the Cluster Version Operator
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upgrades your cluster. By accepting automatic updates, you can automatically
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keep your cluster up to date with the most recent compatible components.
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////
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The interaction between the registry and the {product-title} update service is different during
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bootstrap and continuous update modes. When you bootstrap the initial
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infrastructure, the cluster version Operator finds
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infrastructure, the Cluster Version Operator finds
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the fully qualified image name for the shortname of the images that it needs to
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apply to the server during installation. It looks at the image stream that it needs
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to apply and renders it to disk. It calls bootkube and waits for a temporary minimal control
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plane to come up and load the cluster version Operator.
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plane to come up and load the Cluster Version Operator.
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////
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During continuous update mode, two controllers run. One continuously updates

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