Release notes for Red Hat OpenShift Connectors
Red Hat OpenShift Connectors is a managed cloud service that provides a user-friendly way to quickly build scalable and reliable pipelines for OpenShift Streams for Apache Kafka without writing a single line of code.
These release notes list new features, fixed issues, and other items to note in each release of Red Hat OpenShift Connectors.
9 August 2022
New Connectors add-on offering
The Service Preview release of Red Hat OpenShift Connectors contains the Connectors add-on offering for trial OpenShift Dedicated (OSD) clusters.
OpenShift Connectors Service Preview offering options
How you access the Service Preview of OpenShift Connectors depends on whether you have access to your own OSD trial environment and for how long you want to try out OpenShift Connectors.
If you have access to your own OSD trial environment with the Customer Cloud Subscription (CCS) on an Amazon Web Service (AWS) account, you can use a trial cluster to try out the Service Preview release of OpenShift Connectors.
This process involves creating a trial cluster and then configuring the Connectors add-on as described in Adding the Red Hat OpenShift Connectors add-on to your OpenShift Dedicated trial cluster
The benefit of this option is that your Connectors namespace (the hosting space for your deployed Connectors instances) and Kafka instances last for the 60-day lifetime of the trial cluster. They are not limited to the 48-hour preview time frame. Also, the number of Connectors instances that you can create is not limited. The trial environment is useful when you want to create Proof of Concept solutions. For more information, see About the OpenShift Dedicated Trial.
If you don’t have access to an OSD environment, you can sign up to experience the service offering in a low cost way on the Service Preview site.
The Service Preview site is hosted by Red Hat on a multitenant OSD cluster.
You are limited to four Connectors instances at a time.
The Service Preview site involves 48-hour expiration windows that are explained in Service Preview guidelines
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