红帽全球峰会1.12. Red Hat OpenShift Serverless 1.33
OpenShift Serverless 1.33 is now available. New features, updates, and known issues that pertain to OpenShift Serverless on OpenShift Container Platform are included in the following notes:
1.12.1. New features
- OpenShift Serverless now uses Knative Serving 1.12.
- OpenShift Serverless now uses Knative Eventing 1.12.
- OpenShift Serverless now uses Kourier 1.12.
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OpenShift Serverless now uses Knative (
kn) CLI 1.12. - OpenShift Serverless now uses Knative for Apache Kafka 1.12.
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The
kn funcCLI plugin now usesfunc1.14. OpenShift Serverless Logic is now generally available (GA). This release includes an overview of OpenShift Serverless Logic; instructions on creating, running, and deploying workflows; and guidelines for the installation and uninstallation of OpenShift Serverless Logic Operator. Additionally, it includes steps for configuring OpenAPI services and endpoints, and techniques for troubleshooting the services. For more information, see OpenShift Serverless Logic overview.
You can also refer to the additional documentation. For more details, see the Serverless Logic documentation.
- OpenShift Serverless on ARM64 is now available as Technology Preview.
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The
NamespacedKafkaannotation is now deprecated. Use the standard Kafka broker without data plane isolation instead. -
When enabling the automatic
EventTypeauto-creation, you can now easily discover events available within the cluster. This functionality is available as a Developer Preview. - You can now explore the Knative Eventing monitoring dashboards directly within the Observe tab of the developer view in the OpenShift Developer Console.
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You can now use the Custom Metrics Autoscaler Operator to autoscale Knative Eventing sources for Apache Kafka sources, defined by a
KafkaSourceobject. This functionality is available as a Technology Preview feature, offering enhanced scalability and efficiency for Kafka-based event sources within Knative Eventing. - You can now customize the internal Kafka topic properties when creating a Knative Broker with Kafka implementation. This improves efficiency and simplifies management.
- The new trigger filters feature is now available as a Technology Preview. These filters are enabled by default and allows users to specify a set of filter expressions, where each expression evaluates to either true or false for each event.
1.12.2. Known issues
- Due to different mount point permissions, direct upload on a cluster build does not work on IBM zSystems (s390x) and IBM Power (ppc64le).
Building and deploying a function using Podman version 4.6 fails with the
invalid pull policy "1"error.To work around this issue, use Podman version 4.5.
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