Merge pull request #90525 from sr1kar99/mto-1-1-0-rn-cp

Release notes for MTO 1.0.1 GA

Author: xenolinux

post_installation_configuration/configuring-multi-arch-compute-machines/multi-arch-tuning-operator-release-notes.adoc

@@ -12,13 +12,29 @@ These release notes track the development of the Multiarch Tuning Operator.
 
 For more information, see xref:../../post_installation_configuration/configuring-multi-arch-compute-machines/multiarch-tuning-operator.adoc#multiarch-tuning-operator[Managing workloads on multi-architecture clusters by using the Multiarch Tuning Operator].
 
+[id="multi-arch-tuning-operator-release-notes-1-1-0_{context}"]
+== Release notes for the Multiarch Tuning Operator 1.1.0
 
-[id="multi-arch-tuning-operator-release-notes-1.0.0_{context}"]
+Issued: 18 March 2024
+
+[id="multi-arch-tuning-operator-1-1-0-new-features-and-enhancements_{context}"]
+=== New features and enhancements
+
+* The Multiarch Tuning Operator is now supported on managed offerings, including ROSA with Hosted Control Planes (HCP) and other HCP environments.
+
+* With this release, you can configure architecture-aware workload scheduling by using the new `plugins` field in the `ClusterPodPlacementConfig` object. You can use the `plugins.nodeAffinityScoring` field to set architecture preferences for pod placement. If you enable the `nodeAffinityScoring` plugin, the scheduler first filters out nodes that do not meet the pod requirements. Then, the scheduler prioritizes the remaining nodes based on the architecture scores defined in the `nodeAffinityScoring.platforms` field.
+
+[id="multi-arch-tuning-operator-1-1-0-bug-fixes_{context}"]
+==== Bug fixes
+
+* With this release, the Multiarch Tuning Operator does not update the `nodeAffinity` field for pods that are managed by a daemon set. (link:https://issues.redhat.com/browse/OCPBUGS-45885[*OCPBUGS-45885*])
+
+[id="multi-arch-tuning-operator-release-notes-1-0-0_{context}"]
 == Release notes for the Multiarch Tuning Operator 1.0.0
 
 Issued: 31 October 2024
 
-[id="multi-arch-tuning-operator-1.0.0-new-features-and-enhancements_{context}"]
+[id="multi-arch-tuning-operator-1-0-0-new-features-and-enhancements_{context}"]
 === New features and enhancements
 
 * With this release, the Multiarch Tuning Operator supports custom network scenarios and cluster-wide custom registries configurations.