Kafka is a distributed event store and streaming platform initially developed by LinkedIn and now widely used by companies like Netflix and Uber for data pipelines. It is favored for its reliability and scalability. Kafka messages are written in batches to enhance efficiency, and these messages are categorized into topics and partitions. Producers send messages to Kafka brokers, while consumers read these messages. Kafka brokers usually function within a cluster, allowing for message replication and redundancy. Despite its benefits, Kafka has several complexities, including a plethora of configuration options and underdeveloped client libraries outside Java and C.
Table of contents
Kafka Messages and BatchesKafka Topics and PartitionsKafka Producers and ConsumersKafka Brokers and ClustersThe Advantages of Using KafkaDisadvantages of KafkaShoutout2 Comments
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