Merge pull request #28158 from mburke5678/node-hpa-to-ga

Graduate HPA scaling based on Memory to GA

Author: mburke5678

modules/nodes-pods-autoscaling-about.adoc

@@ -8,11 +8,6 @@
 You can create a horizontal pod autoscaler to specify the minimum and maximum number of pods
 you want to run, as well as the CPU utilization or memory utilization your pods should target.
 
-[IMPORTANT]
-====
-Autoscaling for Memory Utilization is a Technology Preview feature only.
-====
-
 After you create a horizontal pod autoscaler, {product-title} begins to query the CPU and/or memory resource metrics on the pods.
 When these metrics are available, the horizontal pod autoscaler computes
 the ratio of the current metric utilization with the desired metric utilization,

modules/nodes-pods-autoscaling-creating-memory.adoc

@@ -16,21 +16,6 @@ the specified memory utilization across all pods.
 For memory utilization, you can specify the minimum and maximum number of pods and the average memory utilization
 your pods should target. If you do not specify a minimum, the pods are given default values from the {product-title} server.
 
-[IMPORTANT]
-====
-Autoscaling for memory utilization is a Technology Preview feature only.
-ifdef::openshift-enterprise,openshift-webscale[]
-Technology Preview features are not supported with Red Hat production service
-level agreements (SLAs), might not be functionally complete, and Red Hat does
-not recommend to use them for production. These features provide early access to
-upcoming product features, enabling customers to test functionality and provide
-feedback during the development process.
-
-For more information on Red Hat Technology Preview features support scope, see
-https://access.redhat.com/support/offerings/techpreview/.
-endif::[]
-====
-
 .Prerequisites
 
 In order to use horizontal pod autoscalers, your cluster administrator must have properly configured cluster metrics.