Exploring Apache Kafka’s APIs: A Guide with Implementation

Kafka serves as a robust foundation for real-time data processing, offering a distributed streaming platform that excels in constructing dynamic data pipelines and streaming applications. At the heart of Kafka’s architecture are its versatile APIs, allowing developers to seamlessly produce and consume streams of records

For instance, imagine a scenario where an e-commerce platform utilizes Kafka’s Producer API to efficiently log customer transactions and activities. Simultaneously, various consumer applications employ the Consumer API to process these streams in real-time, enabling functionalities such as personalized recommendations or fraud detection. The Streams API facilitates transformative operations on these data streams, while the Connector API seamlessly integrates Kafka with external systems, ensuring the platform’s adaptability and versatility across diverse use cases.

Four important APIs which is widely used in Kafka’s architecture are described below:

1. Producer API
2. Consumer API
3. Stream API
4. Connector API (SourceConnector & SinkConnector)

#Producer API:

The Producer API is used to publish data records (messages) to Kafka topics. Producers are…