Merge pull request #83911 from sr1kar99/11934-release-notes-mto

OSDOCS#11934: Multiarch Tuning Operator release notes

Author: bergerhoffer

_topic_maps/_topic_map.yml

@@ -685,6 +685,8 @@ Topics:
     File: multi-architecture-compute-managing
   - Name: Managing workloads on multi-architecture clusters by using the Multiarch Tuning Operator
     File: multiarch-tuning-operator
+  - Name: Multiarch Tuning Operator release notes
+    File: multi-arch-tuning-operator-release-notes
 - Name: Cluster tasks
   File: cluster-tasks
 - Name: Node tasks

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

@@ -0,0 +1,26 @@
+:_mod-docs-content-type: ASSEMBLY
+[id="multi-arch-tuning-operator-release-notes"]
+= Multiarch Tuning Operator release notes
+include::_attributes/common-attributes.adoc[]
+:context: multi-arch-tuning-operator-release-notes
+
+toc::[]
+
+The Multiarch Tuning Operator optimizes workload management within multi-architecture clusters and in single-architecture clusters transitioning to multi-architecture environments.
+
+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-1.0.0_{context}"]
+== Release notes for the Multiarch Tuning Operator 1.0.0
+
+Issued: 30 October 2024
+
+[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.
+* With this release, you can identify pods based on their architecture compatibility by using the pod labels that the Multiarch Tuning Operator adds to newly created pods.
+* With this release, you can monitor the behavior of the Multiarch Tuning Operator by using the metrics and alerts that are registered in the Cluster Monitoring Operator.