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Apache Kafka is a scalable, distributed messaging system used for real-time data processing. Ideal for data-intensive apps, Kafka enables parallel processing, low-latency handling, and fault-tolerance
The Kafka architecture is a distributed, scalable, and fault-tolerant system for handling large volumes of real-time data. The architecture consists of four key components: producers, consumers, brokers, and ZooKeeper. Producers are responsible for ...
Producer In Apache Kafka, Producer is a client application that sends data to a Kafka cluster. The producer is responsible for publishing records on one or more Kafka topics. Each record is a Key-value pair stored in a topic partition within the clus...
In Apache Kafka, a topic is a category or feed name to which messages are published. A topic in Kafka is similar to a table in a database or a folder in a file system. It's a logical container that holds a stream of records, where each record is a ke...
In Apache Kafka, a partition is a unit of parallelism and scaling for topics. Each topic in Kafka can be split into one or more partitions, and each partition can be located on a different broker in the Kafka cluster. A partition is an ordered and im...
In Apache Kafka, a broker is a single node in a Kafka cluster. It is a server that is responsible for handling read and writes requests from producers and consumers, and for storing and replicating data across partitions. A broker in Kafka can be th...
In Apache Kafka, a consumer is a client application that reads messages from one or more topics in a Kafka cluster. The consumer is responsible for subscribing to a topic and receiving messages from Kafka brokers. Consumers in Kafka can be implement...