Kafka Integration in Node.js Applications #kafka #nodejs #eventstreaming #webdevelopment #techtips

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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.

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.