Introduction Kafka is a distributed streaming platform. Kafka brokers have topics, and Producers produce events on to the topics, and consumers consume. Topics have partitions and can be scaled across multiple nodes. Consumers form consumer groups, and consume messages from each of those partitions. A single stretched cluster spans across 2 or more data centers
To give some background, Kafka topics are feeds where in messages are produced to and consumed from clients. It is crucial to define some naming conventions in the initial phases of the project, for proper Governance on the topics. Topics have partitions and under the hood, there are files and folders created for every partition
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