The Apache Kafka distributed streaming platform features an architecture that – ironically, given the name – provides application messaging that is markedly clearer and less Kafkaesque when compared ...

In the previous article, we gained an understanding of the main Kafka components and how Kafka consumers work. Now, we’ll see how these contribute to the ability of Kafka to provide extreme ...

In this section, we will examine the architectural components and related terminology in Kafka. Basically, Kafka consists of the following components: Kafka Cluster—a collection of one or more servers ...

Life happens as a continuous flow of events (a stream). Ted Dunning and Ellen Friedman describe new designs for streaming data architecture that help you get real-time insights and greatly improve the ...

Apache Kafka, Apache Flink, and Apache Iceberg are among the most popular technologies in the data ecosystem. While Kafka enables you to move data around in real time, Flink allows you to process data ...

It’s become almost a standard career path in Silicon Valley: A talented engineer creates a valuable open source software commodity inside of a larger organization, then leaves that company to create a ...