1.2. Preparing the overcloud role for hyperconverged nodes

Procedure

1. Log in to the undercloud as the stack user.

2. Source the stackrc file:

   [stack@director ~]$ source ~/stackrc

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3. Generate a new custom roles data file that includes the ComputeHCI role, along with other roles you intend to use for the overcloud. The following example generates the roles data file roles_data_hci.yaml that includes the roles Controller, ComputeHCI, Compute, and CephStorage:

   (undercloud)$ openstack overcloud roles \
    generate -o /home/stack/templates/roles_data_hci.yaml \
     Controller ComputeHCI Compute CephStorage

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   注記

   The networks listed for the ComputeHCI role in the generated custom roles data file include the networks required for both Compute and Storage services, for example:

   - name: ComputeHCI
     description: |
       Compute node role hosting Ceph OSD
     tags:
       - compute
     networks:
       InternalApi:
         subnet: internal_api_subnet
       Tenant:
         subnet: tenant_subnet
       Storage:
         subnet: storage_subnet
       StorageMgmt:
         subnet: storage_mgmt_subnet

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4. Create a local copy of the network_data.yaml file to add a composable network to your overcloud. The network_data.yaml file interacts with the default network environment files, /usr/share/openstack-tripleo-heat-templates/environments/*, to associate the networks you defined for your ComputeHCI role with the hyperconverged nodes. For more information, see Adding a composable network in the Advanced Overcloud Customization guide.
5. To improve the performance of Red Hat Ceph Storage, update the MTU setting for both the Storage and StorageMgmt networks to 9000, for jumbo frames, in your local copy of network_data.yaml. For more information, see Configuring MTU Settings in Director and Configuring jumbo frames.

6. Create the computeHCI overcloud flavor for hyperconverged nodes:

   (undercloud)$ openstack flavor create --id auto \
    --ram <ram_size_mb> --disk <disk_size_gb> \
    --vcpus <no_vcpus> computeHCI

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   • Replace <ram_size_mb> with the RAM of the bare metal node, in MB.
   • Replace <disk_size_gb> with the size of the disk on the bare metal node, in GB.
   • Replace <no_vcpus> with the number of CPUs on the bare metal node.
   注記

   These properties are not used for scheduling instances. However, the Compute scheduler does use the disk size to determine the root partition size.

7. Retrieve a list of your nodes to identify their UUIDs:

   (undercloud)$ openstack baremetal node list

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8. Tag each bare metal node that you want to designate as hyperconverged with a custom HCI resource class:

   (undercloud)$ openstack baremetal node set \
    --resource-class baremetal.HCI <node>

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   Replace <node> with the ID of the bare metal node.

9. Associate the computeHCI flavor with the custom HCI resource class:

   (undercloud)$ openstack flavor set \
   --property resources:CUSTOM_BAREMETAL_HCI=1 \
   computeHCI

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   To determine the name of a custom resource class that corresponds to a resource class of a Bare Metal service node, convert the resource class to uppercase, replace all punctuation with an underscore, and prefix with CUSTOM_.

   注記

   A flavor can request only one instance of a bare metal resource class.

10. Set the following flavor properties to prevent the Compute scheduler from using the bare metal flavor properties to schedule instances:

    (undercloud)$ openstack flavor set \
     --property resources:VCPU=0 \
     --property resources:MEMORY_MB=0 \
     --property resources:DISK_GB=0 computeHCI

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11. Add the following parameters to the node-info.yaml file to specify the number of hyperconverged and Controller nodes, and the flavor to use for the hyperconverged and controller designated nodes:

    parameter_defaults:
      OvercloudComputeHCIFlavor: computeHCI
      ComputeHCICount: 3
      OvercloudControlFlavor: baremetal
      ControllerCount: 3

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