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
What is Apache Kafka?
Why Apache Kafka?
What are the different components that are available in Kafka?
What are the core APIs in Kafka?
Explain the role of the Kafka Producer API?
What is Kafka Topic?
What is a broker?
What are consumers or users?
How message is consumed by consumer in Kafka?
How to start a Kafka server?
Elaborate Kafka architecture?
What happens if the preferred replica is not in the ISR?
What is a partitioning key?
What is an Offset?
What is Replication in Kafka?
What is Kafka Logs?
What is ISR?
What does it indicate if replica stays out of ISR for a long time?
Why are Replications critical in Kafka?
How you can reduce churn in ISR? When does broker leave the ISR?
What is the role ZooKeeper plays in a cluster of Kafka?
Can Kafka be utilized without zookeeper?
Why is Kafka technology significant to use?
What is the maximum size of the message does Kafka server can receive?
When does the queue full exception emerge inside the manufacturer?
How you can get exactly once messaging from Kafka during data production?
What is the main difference between Kafka and Flume?
What is the traditional method of message transfer?
When not to use Apache Kafka?