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**`kubeconfig` secret: `<hosted_cluster_namespace>-<name>-admin-kubeconfig`. For example, `clusters-hypershift-demo-admin-kubeconfig`.
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**`kubeadmin` password secret: `<hosted_cluster_namespace>-<name>-kubeadmin-password`. For example, `clusters-hypershift-demo-kubeadmin-password`.
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The `kubeconfig` secret contains a Base64-encoded `kubeconfig` field, which you can decode and save into a file to use with the following command:
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[source,terminal]
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----
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$ oc --kubeconfig <hosted-cluster-name>.kubeconfig get nodes
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$ oc --kubeconfig <hosted_cluster_name>.kubeconfig get nodes
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----
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The `kubeadmin` password secret is also Base64-encoded. You can decode it and use the password to log in to the API server or console of the hosted cluster.
@@ -35,12 +35,12 @@ The `kubeadmin` password secret is also Base64-encoded. You can decode it and us
. Wait for several minutes to pass without requiring the additional capacity. On the Agent platform, the agent is decommissioned and can be reused. You can confirm that the node was removed by entering the following command:
The Cluster API agent provider randomly picks two agents that are then assigned to the hosted cluster. Those agents go through different states and finally join the hosted cluster as {product-title} nodes. The agents pass through states in the following order:
@@ -35,7 +35,7 @@ The Cluster API agent provider randomly picks two agents that are then assigned
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[source,terminal]
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----
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$ oc -n <hosted-control-plane-namespace> get agent
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$ oc -n <hosted_control_plane_namespace> get agent
. After the agents reach the `added-to-existing-cluster` state, verify that you can see the {product-title} nodes in the hosted cluster by entering the following command:
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[source,terminal]
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----
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$ oc --kubeconfig kubeconfig-<hosted-cluster-name> get nodes
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$ oc --kubeconfig kubeconfig-<hosted_cluster_name> get nodes
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----
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.Example output
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[source,terminal]
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$ oc -n <hosted-control-plane-namespace> get machines
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$ oc -n <hosted_control_plane_namespace> get machines
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.Example output
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[source,terminal]
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$ oc --kubeconfig kubeconfig-<hosted-cluster-name> get clusterversion,co
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$ oc --kubeconfig kubeconfig-<hosted_cluster_name> get clusterversion,co
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.Example output
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NAME VERSION AVAILABLE PROGRESSING SINCE STATUS
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clusterversion.config.openshift.io/version False True 40m Unable to apply 4.x.z: the cluster operator console has not yet successfully rolled out
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NAME VERSION AVAILABLE PROGRESSING DEGRADED SINCE MESSAGE
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clusteroperator.config.openshift.io/console 4.12z False False False 11m RouteHealthAvailable: failed to GET route (https://console-openshift-console.apps.hypercluster1.domain.com): Get "https://console-openshift-console.apps.hypercluster1.domain.com": dial tcp 10.19.3.29:443: connect: connection refused
Copy file name to clipboardExpand all lines: modules/hcp-ibmz-lpar-agents.adoc
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@@ -42,7 +42,7 @@ The `.ins` file includes installation data and is on the FTP server. You can acc
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In {product-title} 4.16, the `.ins` file and `initrd.img.addrsize` are not automatically generated as part of boot-artifacts from the installation program. You must manually generate these files.
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====
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.. Run the following commands to get the size of the `kernel` and `initrd`:
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.. Run the following commands to get the size of the `kernel` and `initrd`:
.. Clean up temporary files by running the following command:
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[source,terminal]
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rm -rf temp_address.bin temp_size.bin
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$ rm -rf temp_address.bin temp_size.bin
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.. Create the `.ins` file. The file is based on the paths of the `kernel.img`, `initrd.img`, `initrd.img.addrsize`, and `cmdline` files and the memory locations where the data is to be copied.
. Transfer the `initrd`, `kernel`, `generic.ins`, and `initrd.img.addrsize` parameter files to the file server. For more information about how to transfer the files with FTP and boot, see _Installing in an LPAR_.
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. Transfer the `initrd`, `kernel`, `generic.ins`, and `initrd.img.addrsize` parameter files to the file server. For more information about how to transfer the files with FTP and boot, see _Installing in an LPAR_.
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. Start the machine.
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. Repeat the procedure for all other machines in the cluster.
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. Repeat the procedure for all other machines in the cluster.
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