Chapter 3. Technology previews
Technology Preview features are not supported with Red Hat production service-level agreements (SLAs) and might not be functionally complete; therefore, Red Hat does not recommend implementing any Technology Preview features in production environments. This Technology Preview feature provides early access to upcoming product innovations, enabling you to test functionality and provide feedback during the development process. For more information about support scope, see Technology Preview Features Support Scope.
3.1. Cluster rebalancing with Cruise Control
This is a Technology Preview feature.
You can now deploy Cruise Control to your AMQ Streams cluster and use it to rebalance the Kafka cluster. Cruise Control helps to reduce the time and effort involved in running an efficient and balanced Kafka cluster.
Cruise Control is deployed as part of the configuration of a Kafka resource. Example YAML configuration files for Cruise Control are provided in examples/cruise-control/.
By deploying an instance of Cruise Control to each Kafka cluster, you can:
- Generate optimization proposals from multiple optimization goals
- Rebalance a Kafka cluster based on an optimization proposal
Other Cruise Control features are not currently supported, including anomaly detection, notifications, write-your-own goals, and changing the topic replication factor.
See Cruise Control.
There is a known issue related to setting user-provided optimization goals. See Chapter 6, Known issues.
3.2. OAuth 2.0 authorization
This is a Technology Preview feature.
If you are using OAuth 2.0 for token-based authentication, you can now also use OAuth 2.0 authorization rules to constrain client access to Kafka brokers.
AMQ Streams supports the use of OAuth 2.0 token-based authorization through Red Hat Single Sign-On Authorization Services, which allows you to manage security policies and permissions centrally.
Security policies and permissions defined in Red Hat Single Sign-On are used to grant access to resources on Kafka brokers. Users and clients are matched against policies that permit access to perform specific actions on Kafka brokers.
