Chapter 3. Technology Previews

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.

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

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

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:

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