In Kafka, the Kafka events can be some sort of an action (read or write) that can be performed on Kafka partition when any action or task is executed. The action can be from internal Kafka environment or from external source. As per technical requirement, Kafka event can be majorly distributed into three major strategies like:

  • Single Topic
  • topic-per-entity-type
  • topic-per-entity

But before zeroing in on any strategy, we need to consider multiple factors like the data size, access request, and topic classification (it would be the single topic or separate topic for the Kafka events).


As such, there is no specific syntax available for the Kafka Event. Generally, we use the Kafka Event value while creating new events or defining the new event strategies on the number of Kafka topics.


1) While working with the Kafka Event one can use the core Kafka commands and Kafka Event command for the troubleshooting front.

2) At the time of Kafka Event configuration; it’s recommended to use the CLI method. But generally, Kafka logs can be used for further troubleshooting.

How Kafka Event Works?

The Kafka Event is useful when any specific task or activity may occur and with respect to this activity, there’s need to execute the Kafka event. To manage this, there are multiple ways to handle this event like:

  • Single Topic: It will store all the events with respect to all the entities in a single Kafka topic. In the same single topic, we can define multiple partitions.
  • Topic per entity category: We can select a different topic for all the users associated with the events and all the entity related events.
  • Topic per entity: We can select a separate topic for a single user and a single entity.

An example to Implement or Check Kafka Event:

Create a Topic to Store the Events

In the Kafka environment, we can store the events.

Command :

Consume the Kafka Events:

./ --bootstrap-server --topic kafka_events --from-beginning

Explanation :

As per the below screenshot, we have created “Kafka_events” topic and consume the events on the same topics.

Output :

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