Apache Kafka® Consumers and Consumer Group Protocol

https://cnfl.io/kafka-internals-101-m... | The consumer group protocol in Apache Kafka® enables elasticity, scalability, and fault tolerance for Kafka's compute layer, which is client side, allowing client applications like ksqlDB, Kafka Streams, or a microservice using Kafka's consumer to process data across multiple containers or machines in parallel and with fault tolerance. Jun Rao (Kafka Committer, PMC Member, VP of Kafka, and Co-Founder, Confluent) explains how Kafka decouples the processing of events from storage through consumer groups, how the elasticity of client applications is achieved with consumer groups, and key aspects and settings of a consumer group. Watch this video to find out how consumer groups function and automatically redistribute work as instances are added or removed to suit changing application processing loads.

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LEARN MORE
► Apache Kafka Data Access Semantics: Consumers and Membership: https://www.confluent.io/blog/apache-...
►From Eager to Smarter in Apache Kafka Consumer Rebalances: https://www.confluent.io/blog/coopera...
► Apache Kafka 101 course—Consumers https://developer.confluent.io/learn-...
► Streams and Tables in Apache Kafka: Elasticity, Fault Tolerance, and Other Advanced Concepts: https://www.confluent.io/blog/kafka-s...

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