Apache Kafka is an open source stream processing platform for the software, written in JAVA and SCALA which is initially developed by LinkedIn and then was donated to the Apache Software Foundation. Kafka is a public subscribe scalable messaging system and fault tolerant that helps us to establish distributed applications. Due to fast, scalable and fault-tolerant feature of the Kafka, it is used in a messaging system where even JMS, RabbitMQ, and AMQP are not even considered. It is also helpful in tracking service calls or in tracking of the IoT sensor devices due to its higher throughput and more reliability.
This article will give an overview of Apache Kafka Security with ACL and Apache Kerberos. This data can be often performed with following functions -
How to secure Apache Kafka with Access Control List (ACL)?
The general format of “Principal P is [Allowed/Denied] Operation O From Host, H On Resource R” is defined in Kafka Acl’s. In a secure cluster, both client requests and inter-broker operations require authorization. Now in Server. Properties enable the default authorizer by -
The streaming of data from one system to another in real time is done by Kafka. It acts as a kind of middle layer to decouple between real-time data pipelines. It can also be used to feed the fast lane systems like Spark, Apache Storm and other CEP systems. To know more about Stream Processing platform we would recommend.