Chapter 3. Technology Previews Important 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. Kafka Static Quota plugin configuration Use the Kafka Static Quota plugin to set throughput and storage limits on brokers in your Kafka cluster. You can set a byte-rate threshold and storage quotas to put limits on the clients interacting with your brokers. Example Kafka Static Quota plugin configuration client.quota.callback.class= io.strimzi.kafka.quotas.StaticQuotaCallback client.quota.callback.static.produce= 1000000 client.quota.callback.static.fetch= 1000000 client.quota.callback.static.storage.soft= 400000000000 client.quota.callback.static.storage.hard= 500000000000 client.quota.callback.static.storage.check-interval= 5 See Setting limits on brokers using the Kafka Static Quota plugin 3.2. Cruise Control for cluster rebalancing Note Cruise Control remains in Technology Preview, with some new enhancements . You can install Cruise Control and use it to rebalance your Kafka cluster using optimization goals - defined constraints on CPU, disk, network load, and more. In a balanced Kafka cluster, the workload is more evenly distributed across the broker pods. Cruise Control helps to reduce the time and effort involved in running an efficient and balanced Kafka cluster. A zipped distribution of Cruise Control is available for download from the Customer Portal . To install Cruise Control, you configure each Kafka broker to use the provided Metrics Reporter. Then, you set Cruise Control properties, including optimization goals, and start Cruise Control using the provided script. The Cruise Control server is hosted on a single machine for the whole Kafka cluster. When Cruise Control is running, you can use the REST API to: Generate dry run optimization proposals from multiple optimization goals Initiate an optimization proposal to rebalance the Kafka cluster 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 for cluster rebalancing 3.2.1. Enhancements to the Technology Preview Cruise Control version 2.5.59 provides significant performance improvements, including 10% faster optimization proposal calculations. A zipped distribution of the latest version is available to download from the Red Hat Customer Portal. See Customer Portal

Commands:
client.quota.callback.class= io.strimzi.kafka.quotas.StaticQuotaCallback client.quota.callback.static.produce= 1000000 client.quota.callback.static.fetch= 1000000 client.quota.callback.static.storage.soft= 400000000000 client.quota.callback.static.storage.hard= 500000000000 client.quota.callback.static.storage.check-interval= 5