It is an open-source message broker system developed by LinkedIn and supported by Apache. The underlying TECHNOLOGY being used in Kafka is Java and Scala. It supports the publisher-subscriber model of COMMUNICATION where publisher publishes messages and subscribers get notified when any new message gets published. It is categorised in distributed streaming messages software. Earlier we were using messaging QUEUE and different enterprise messaging systems like RabbitMQ and many others for the same purpose but Kafka has become an industry leader in quick time. It is being used in building stream pipeline in high volume applications to reliably transfer/transform data between different systems. It has an inbuilt fault-tolerant system to store messages. It is distributed and supports PARTITION as well. Kafka runs in a clustered environment which makes it. It is gaining popularity due to its high throughput of messages in a microservice architecture. The software component which publishes messages is called producer while consumers are the one to which messages are broadcasted. In the below diagram you can see different PARTS of Kafka system: