Understanding the Basics of Apache Kafka
Before delving into the cluster architecture, let’s establish a foundation by understanding some fundamental concepts of Apache Kafka.
1. Publish-Subscribe Model
Kafka operates on a publish-subscribe model, where data producers publish records to topics, and data consumers subscribe to these topics to receive and process the data. This decoupling of producers and consumers allows for scalable and flexible data processing.
2. Topics and Partitions
Topics are logical channels that categorize and organize data. Within each topic, data is further divided into partitions, enabling parallel processing and efficient load distribution across multiple brokers.
3. Brokers
Brokers are the individual Kafka servers that store and manage data. They are responsible for handling data replication, client communication, and ensuring the overall health of the Kafka cluster.
Apache Kafka – Cluster Architecture
Apache Kafka has by now made a perfect fit for developing reliable internet-scale streaming applications which are also fault-tolerant and capable of handling real-time and scalable needs. In this article, we will look into Kafka Cluster architecture in Java by putting that in the spotlight.
In this article, we will learn about, Apache Kafka – Cluster Architecture.