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fix: added a fix where secondary storage was not being provisioned<br>- added a fix where workload_cluster_name and management_cluster_name outputs were not working (#889)
Copy file name to clipboardExpand all lines: patterns/roks/variables.tf
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@@ -247,6 +247,12 @@ variable "entitlement" {
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default=null
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}
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variable"secondary_storage" {
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description="Optionally specify a secondary storage option to attach to all cluster worker nodes. This value is immutable and can't be changed after provisioning. Use the IBM Cloud CLI command ibmcloud ks flavors to find valid options, e.g ibmcloud ks flavor get --flavor bx2.16x64 --provider vpc-gen2 --zone us-south-1."
Copy file name to clipboardExpand all lines: variables.tf
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@@ -856,8 +856,8 @@ variable "clusters" {
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cluster_force_delete_storage =optional(bool, false) # force the removal of persistent storage associated with the cluster during cluster deletion
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operating_system =optional(string, null) #The operating system of the workers in the default worker pool. If no value is specified, the current default version OS will be used. See https://cloud.ibm.com/docs/openshift?topic=openshift-openshift_versions#openshift_versions_available .
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kms_wait_for_apply =optional(bool, true) # make terraform wait until KMS is applied to master and it is ready and deployed
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verify_worker_network_readiness =optional(bool, true) # Flag to run a script will run kubectl commands to verify that all worker nodes can communicate successfully with the master. If the runtime does not have access to the kube cluster to run kubectl commands, this should be set to false.
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use_private_endpoint =optional(bool, true) # Flag to force all cluster related api calls to use the IBM Cloud private endpoints.
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verify_cluster_network_readiness=optional(bool, true) # Flag to run a script will run kubectl commands to verify that all worker nodes can communicate successfully with the master. If the runtime does not have access to the kube cluster to run kubectl commands, this should be set to false.
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use_ibm_cloud_private_api_endpoints=optional(bool, true) # Flag to force all cluster related api calls to use the IBM Cloud private endpoints.
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import_default_worker_pool_on_create =optional(bool) # (Advanced users) Whether to handle the default worker pool as a stand-alone ibm_container_vpc_worker_pool resource on cluster creation. Only set to false if you understand the implications of managing the default worker pool as part of the cluster resource. Set to true to import the default worker pool as a separate resource. Set to false to manage the default worker pool as part of the cluster resource.
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allow_default_worker_pool_replacement =optional(bool) # (Advanced users) Set to true to allow the module to recreate a default worker pool. Only use in the case where you are getting an error indicating that the default worker pool cannot be replaced on apply. Once the default worker pool is handled as a stand-alone ibm_container_vpc_worker_pool, if you wish to make any change to the default worker pool which requires the re-creation of the default pool set this variable to true
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labels =optional(map(string)) # A list of labels that you want to add to the default worker pool.
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