Kafka Integration in Node.js Applications

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Apache Kafka is a distributed event streaming platform that allows you to publish and subscribe to streams of records (messages). It is widely used for building real-time data pipelines, event-driven architectures, and handling large-scale data streams.
Node.js is a popular runtime environment for executing JavaScript code on the server side. When combined with Kafka, Node.js enables seamless communication between your applications and Kafka clusters.
Here are the key components and steps involved in integrating Kafka with Node.js:
Brokers: Kafka brokers form the core of the Kafka cluster. They manage topics, partitions, and handle message storage and retrieval.
Topics: Topics are logical channels where messages are published. Each topic can have multiple partitions.
Partitions: Partitions allow parallel processing of messages within a topic.
Producers: Producers send messages to Kafka topics.
Consumers: Consumers read messages from Kafka topics.
Setting Up Kafka Locally:
Install and run Kafka locally (or use a cloud-based Kafka service).
Set up ZooKeeper (required by Kafka) and start Kafka brokers.
Creating a Kafka Producer (Publisher):
Use the kafkajs library to create a Kafka producer.
Connect to the Kafka cluster using the broker address.
Define the topic you want to publish messages to.
Send messages (key-value pairs) to the topic.
Creating a Kafka Consumer (Subscriber):
Similarly, create a Kafka consumer using kafkajs.
Subscribe to the desired topic.
Process incoming messages using event handlers.
Handle errors and manage consumer offsets.
Custom Logic:
Inside your producer and consumer, you can add custom logic:
In the producer, you might generate messages based on user actions, events, or data changes.
In the consumer, you process incoming messages, update databases, trigger notifications, etc.

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Source Code : github.com/krishheii/kafka-basic