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Copy file name to clipboardExpand all lines: nodes/cma/nodes-cma-rn/nodes-cma-autoscaling-custom-rn-past.adoc
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@@ -10,6 +10,20 @@ The following release notes are for previous versions of the Custom Metrics Auto
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For the current version, see xref:../../../nodes/cma/nodes-cma-rn/nodes-cma-autoscaling-custom-rn.adoc#nodes-cma-autoscaling-custom-rn[Custom Metrics Autoscaler Operator release notes].
This release of the Custom Metrics Autoscaler Operator 2.15.1-6 addresses Common Vulnerabilities and Exposures (CVEs). The following advisory is available for the Custom Metrics Autoscaler Operator:
Before installing this version of the Custom Metrics Autoscaler Operator, remove any previously installed Technology Preview versions or the community-supported version of Kubernetes-based Event Driven Autoscaler (KEDA).
This release of the Custom Metrics Autoscaler Operator 2.15.1-6 addresses Common Vulnerabilities and Exposures (CVEs). The following advisory is available for the Custom Metrics Autoscaler Operator:
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This release of the Custom Metrics Autoscaler Operator 2.17.2 addresses Common Vulnerabilities and Exposures (CVEs), a new feature, and bug fixes. The following advisory is available for the Custom Metrics Autoscaler Operator:
Before installing this version of the Custom Metrics Autoscaler Operator, remove any previously installed Technology Preview versions or the community-supported version of Kubernetes-based Event Driven Autoscaler (KEDA).
==== The Keda Controller is now created upon installation of the Custom Metrics Autoscaler Operator
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With this update, when you install the Custom Metrics Autoscaler Operator, the installation process automatically creates the `KedaController` custom resource. The Keda Controller creates several required custom resource definitions. After installation, you can modify the KedaController` CR as needed, to modify logging, the namespaces where the Custom Metrics Autoscaler operates, and other configurations. For more information, see
With this update, you can now use bound service account tokens with trigger and cluster trigger authentications the Custom Metrics Autoscaler. Bound service account tokens are audience- and time-bound, making them more secure than legacy service account tokens.
* Before this update, you were mount a volume to a Custom Metrics Autoscaler pod, because the Keda Controller did not support the `volumeMount` and `volume` parameters. With this update, the Keda Controller now supports these fields. You can inject volumes into Custom Metrics Autoscaler pods as needed. (link:https://issues.redhat.com/browse/OCPBUGS-42559[*OCPBUGS-42559*])
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