The producers send messages to the world while the consumers read specific chunks of data. Kafka is just the broker, the stage in which all the action takes place. In summary, it is a service that aims to keep configuration-like data synchronized and organized in distributed systems. These brokers are managed by another tool called Zookeeper. You can benefit from multiple features such as data replication, fault tolerance, and high availability with brokers.
Kafka can also be configured to work in a cluster of one or more servers. They are the two main actors in each edge of this linear process.įigure 1.
Kafka works as a middleman exchanging information from producers to consumers. To embrace such an ever-growing amount of data, tools like Kafka come into existence, providing robust and impressive architecture.īut how does Kafka work behind the scenes? The world produces data constantly and exponentially. It also shows the installation and usage on a Windows OS and its configuration for an ASP.NET API. This article explains the details of using Kafka with. Many companies and developers take advantage of its power to create high-performance async processes along with streaming for analytics purposes, data integration for microservices, and great monitoring tools for app health metrics. Apache Kafka is one of the most used and robust open-source event streaming platforms out there. Have you ever used async processing for your applications? Whether for a web-based or a cloud-driven approach, asynchronous code seems inevitable when dealing with tasks that do not need to process immediately.
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