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ocp4_workload_external_odf: document backingstore_pv_volumes for scaled clusters #75

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ocp4_workload_external_odf: document backingstore_pv_volumes for scaled clusters #75

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2 changes: 1 addition & 1 deletion roles/ocp4_workload_external_odf/defaults/main.yml
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Expand Up @@ -6,7 +6,7 @@ ocp4_workload_external_odf_guest_pool: ""
ocp4_workload_external_odf_registry_size: 100Gi
ocp4_workload_external_odf_ceph_storage_system_deploy_timeout: 500

ocp4_workload_external_odf_backingstore_pv_volumes: 3
ocp4_workload_external_odf_backingstore_pv_volumes: 1
ocp4_workload_external_odf_backingstore_custom_resources: false
ocp4_workload_external_odf_backingstore_cpu_limits: 1000m
ocp4_workload_external_odf_backingstore_cpu_requests: 800m
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24 changes: 23 additions & 1 deletion roles/ocp4_workload_external_odf/readme.adoc
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Expand Up @@ -2,4 +2,26 @@

== Role overview

It configures ODF in external mode and configure the image registry in a PVC
It configures ODF in external mode and configure the image registry in a PVC.

== NooBaa pvPool scaling

When using clusters with more than 3 workers, both the number of pvPool volumes
and the per-pod resource requests/limits need to be configured. Otherwise
workloads like Quay that consume object storage will fail.

Set all of the following in your AgnosticV catalog item:

[source,yaml]
----
# Scale pvPool volumes to match worker node count
ocp4_workload_external_odf_backingstore_pv_volumes: "{{ worker_instance_count | int }}"

# Enable custom resource requests/limits for each BackingStore pod
ocp4_workload_external_odf_backingstore_custom_resources: true
ocp4_workload_external_odf_backingstore_cpu_limits: 1000m
ocp4_workload_external_odf_backingstore_cpu_requests: 800m
ocp4_workload_external_odf_backingstore_memory_limits: 4000Mi
ocp4_workload_external_odf_backingstore_memory_requests: 800Mi
ocp4_workload_external_odf_backingstore_storage_requests: 50Gi
----