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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
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Use the Kafka Static Quota plugin to set throughput and storage limits on brokers in your Kafka cluster. You enable the plugin and set limits by configuring the Kafka resource. 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

apiVersion: kafka.strimzi.io/v1beta2
kind: Kafka
metadata:
  name: my-cluster
spec:
  kafka:
    # ...
    config:
      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
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See Setting limits on brokers using the Kafka Static Quota plugin

3.2. Cruise Control for cluster rebalancing
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Note

Cruise Control remains in Technology Preview, with some new enhancements.

You can deploy 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 is configured and deployed as part of a Kafka resource. You can use the default optimization goals or modify them to suit your requirements. Example YAML configuration files for Cruise Control are provided in examples/cruise-control/.

When Cruise Control is deployed, you can create KafkaRebalance custom resources to:

  • 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 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
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Cruise Control REST API security

The Cruise Control REST API is secured with HTTP Basic authentication and SSL to protect the cluster against potentially destructive Cruise Control operations, such as decommissioning Kafka brokers.

The following settings are enabled by default:

  • webserver.security.enable: true
  • webserver.ssl.enable: true

You can disable the built-in HTTP Basic authentication or SSL settings, though this is not recommended. Configuration options to disable security have been added to spec.cruiseControl.config in the Kafka resource.

Note

When Cruise Control is deployed to an AMQ Streams cluster, you perform operations using custom resources, not the REST API.

See Cruise Control configuration

Anomaly detection for Cruise Control

Cruise Control’s anomaly detection is now enabled for use with AMQ Streams. You can use anomaly detection to monitor Cruise Control metrics. Cruise Control’s anomaly notifier provides alerts on broker failures and other conditions that block the generation of optimization goals, as well as any actions taken.

See Cruise Control for cluster rebalancing

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