![]() Kafka-metadata-quorum or view metadata.properties or confluent cluster describe -url -output json Zookeeper-shell zookeeper:2181 get/cluster/id command-config properties to connect to brokers Kafka-topics -bootstrap-server broker:9092. Right now you can swing your tools from getting metadata from ZooKeeper over to getting metadata from the brokers instead, as described in Preparing Your Clients and Tools for KIP-500: ZooKeeper Removal from Apache Kafka. Refer to the documentation here for details on configuring KRaft for production in isolated mode, meaning controllers run independently from brokers. Combined mode is only appropriate for local development and testing. This quick start runs in KRaft combined mode, meaning that one process acts as both the broker and controller. ![]() ![]() If you want to try it yourself, follow the Kafka Local Quickstart. The development progress for additional features like migration from ZooKeeper is tracked in KIP-833. KRaft mode is production ready for new clusters as of Apache Kafka 3.3. A task that was previously handled with RPCs now benefits from being event-driven as well as using an actual log for communication. What’s more, the same event-driven mechanism used in the KRaft protocol is used to track metadata across the cluster. When leadership changes, the new active controller already has all of the committed metadata records in memory. The event-driven nature of the KRaft protocol means that, unlike the ZooKeeper-based controller, the quorum controller does not need to load state from ZooKeeper before it becomes active. This significantly decreases the unavailability window, improving the worst-case recovery time of the system. Thus, should one node pause due to a partitioning event, for example, it can quickly catch up on any events it missed by accessing the log when it rejoins. The other controllers within the quorum follow the active controller by responding to the events that it creates and stores in its log. The event log used to store this state (also known as the metadata topic) is periodically abridged by snapshots to guarantee that the log cannot grow indefinitely. The quorum controller stores its state using an event-sourced storage model, which ensures that the internal state machines can always be accurately recreated. The quorum controllers use the new KRaft protocol to ensure that metadata is accurately replicated across the quorum. Makes controller failover near-instantaneous.Provides a lightweight, single-process way to get started with Kafka.Unified management model for configuration, networking setup, and communication protocols.Allows Kafka to have a single security model for the whole system.Improves stability, simplifies the software, and makes it easier to monitor, administer, and support Kafka.KRaft enables right-sized clusters, meaning clusters that are sized with the appropriate number of brokers and compute to satisfy a use case’s throughput and latency requirements, with the potential to scale up to millions of partitions.Benefits of Kafka’s new quorum controller
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