Topics are partitioned which means a topic is spread over several "buckets" so topics have partitions distributed across the cluster nodes at Kafka brokers for better scalability. Topics in Kafka are always multi-producer and multi-subscriber. And in its turn Producer have to send messages with a correctly specified topic for proper delivery to the Consumer. That is why it is necessary to subscribe to a p a rticul a r topic and listen to it for consumers to receive proper messages. Events are organized and durably stored in topics. So, Producers publish messages and send them to Kafka Cluster and Consumers subscribe and listen to particular messages from Kafka.Įach event has a key, value, and timestamp. So-called c lients ar e Producers and Consumers of Events or messages. Usually, Kafka runs on a cluster of one or more servers (called brokers). Kafka is a distributed system consisting of servers and clients that communicate via TCP network protocol. Process streams of records as they occur or retrospectively Publish and subscribe to streams of recordsĮffectively store streams of records in the order in which records were generated That is why it is a great opportunity to know what approach to choose for performance test design for this system component. Apache Kafka is a distributed data store optimized for ingesting and processing streaming data in real-time. And it is not a secret that Apache Kafka is becoming more widespread as a component to be selected for complex programming solutions. Kafka is an open-source stream ing software platform developed by the Apache Software Foundation, written in Scala and Java. W hen it is necessary to choose between the Pepper-Box plugin and your own Kafka load samplers for JMeter Is it possible to write samplers for JMeter on your own to provide Kafka performance testing?.How to start Kafka performance testing with JMeter + Pepper-Box plugin ?.
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