Overview of brokers in Managed Service for Apache Kafka
Stay organized with collections
Save and categorize content based on your preferences.
A Kafka cluster is made up of one or more brokers. Producer applications
send messages to brokers, and consumer applications connect to brokers to
read messages. Multiple consumers can read messages in parallel, typically using
a consumer group.
Each partition in a topic is assigned a leader broker. The leader is responsible
for replicating the partition data that it receives to other brokers.
When you create a Managed Service for Apache Kafka cluster, the service
provisions a number of brokers based on the cluster's total vCPU and memory
capacity. If you scale the cluster up or down, the service automatically
scales the brokers, adding new brokers if needed. For details, see
broker provisioning.
Managed Service for Apache Kafka provides APIs for viewing the brokers in
your cluster. You can also use the open source Apache Kafka APIs to view and
configure brokers. For more information, see the following pages:
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2026-02-13 UTC."],[],[]]
