Distributed systems are the logical systems that are segregated over a network. Leveraging the power of a distributed system normally starts in the stage where the application wants to scale horizontally over a network and when the flow of data is increasing over time. Let's refer to the flow of data as streams.
Kafka is a distributed stream processing platform that acts as a broker to producers and consumers of streams. In the world of Kafka, a producer is any entity that provides data, and a consumer is any entity that receives data.
Such a platform is really useful in various fields, such as stock markets and geo-spatial applications, where data is continuously produced and consumed.
We are going to study Apache Kafka by communicating JSON data via the simple real-time application that we implemented before. To do so, we need to learn a few...
