Apache Kafka Interview Questions and Answers

Apache Kafka is an open-source stream processing platform developed by the Apache Software Foundation written in Scala and Java. The project aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds. Its storage layer is essentially a “massively scalable pub/sub message queue architected as a distributed transaction log,” making it highly valuable for enterprise infrastructures to process streaming data. Additionally, Kafka connects to external systems (for data import/export) via Kafka Connect and provides Kafka Streams, a Java stream processing library.

Apache Kafka is a fast, scalable, fault-tolerant publish-subscribe messaging system which enables communication between producers and consumers using message-based topics. It designs a platform for high-end new generation distributed applications. Kafka permits a large number of permanent or ad-hoc consumers. Kafka is highly available and resilient to node failures and supports automatic recovery. These characteristics make Kafka ideal for communication and integration between components of large scale data systems in real world data systems

Apache Kafka was originally developed by LinkedIn and was subsequently open sourced in early 2011. Graduation from the Apache Incubator occurred on 23 October 2012. In November 2014, several engineers who worked on Kafka at LinkedIn created a new company named Confluent with a focus on Kafka. According to a Quora post from 2014


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