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Kafka cluster

A Kafka cluster is a group of Kafka brokers that collectively store, distribute, and serve event streams.

How 2 Manning books explain it

Apache Kafka in Action

A Kafka cluster is a group of Kafka broker nodes that jointly store and serve event data, with security controls determining how clients and brokers connect and access it.

How it is used
Serves as the distributed event backbone connecting producers and consumers through topics and brokers.
How deep it goes
Works through replication, coordination, metadata-based connections, and broker-count trade-offs, while leaving server provisioning unspecified.
Examples
Uses bank-transfer events, a three-broker topic-listing command, and separate clusters for performance, security, or geography.
What you can do after
Operate/configure it with multiple bootstrap addresses, plan at least three brokers for resilience, and assess whether separate clusters are warranted.

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Kafka for Architects

A Kafka cluster is a group of broker nodes operating together to provide distributed event storage, processing, and service availability.

How it is used
Explains how Kafka distributes messaging, storage, coordination, and availability across cooperating broker nodes.
How deep it goes
Descends to replication, acknowledgments, consumer recovery, metadata coordination, and operational trade-offs, but stops short of a complete operations guide.
Examples
Uses producer acknowledgments, retries, broker failure, consumer reconnection, message replay, and broker-controller architecture diagrams.
What you can do after
Operate/configure a cluster by evaluating capacity, monitoring, scaling, upgrades, testing, and disaster-recovery requirements.

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Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.