The Apache Kafka community is pleased to announce the release for Apache Kafka 4.3.2
This is a bugfix release in the 4.3 line. It fixes around 60 issues since the 4.3.1 release, most notably two potential data loss issues in tiered storage size-based retention and time index truncation, along with dependency updates addressing published CVEs in jackson-databind, lz4-java, log4j and Jetty. All of the changes in this release can be found in the release notes: https://downloads.apache.org/kafka/4.3.2/RELEASE_NOTES.html An overview of the release can be found in our announcement blog post: https://kafka.apache.org/blog/2026/10/23/apache-kafka-4.3.2-release-announcement/ You can download the source and binary release (Scala 2.13) from: https://kafka.apache.org/community/downloads/#432 --------------------------------------------------------------------------------------------------- Apache Kafka is a distributed streaming platform with four core APIs: ** The Producer API allows an application to publish a stream of records to one or more Kafka topics. ** The Consumer API allows an application to subscribe to one or more topics and process the stream of records produced to them. ** The Streams API allows an application to act as a stream processor, consuming an input stream from one or more topics and producing an output stream to one or more output topics, effectively transforming the input streams to output streams. ** The Connector API allows building and running reusable producers or consumers that connect Kafka topics to existing applications or data systems. For example, a connector to a relational database might capture every change to a table. With these APIs, Kafka can be used for two broad classes of application: ** Building real-time streaming data pipelines that reliably get data between systems or applications. ** Building real-time streaming applications that transform or react to the streams of data. Apache Kafka is in use at large and small companies worldwide, including Capital One, Goldman Sachs, ING, LinkedIn, Netflix, Pinterest, Rabobank, Target, The New York Times, Uber, Yelp, and Zalando, among others. A big thank you for the following 56 contributors to this release! (Please report an unintended omission) Adam Horky, Adam Souquières, Alan Lau, Alieh Saeedi, Alyssa Huang, Anastasia Vela, Andrew Schofield, Apoorv Mittal, Avishek Das, Bill Bejeck, Chia-Ping Tsai, ChickenchickenLove, Chris Egerton, Daeho Kwon, David Jacot, Dongnuo Lyu, Evan Zhou, Federico Valeri, Gabriella Fu, Gaurav Narula, Gavin Wang, Gergely Harmadas, Izzy Harker, Justine Olshan, Ken Huang, Kevin Wu, Kuan-Po Tseng, Lianet Magrans, Lucas Brutschy, Lucy Liu, Luke Chen, Manikumar Reddy, Matthias J. Sax, Mickael Maison, Mingi Cho, Nick Telford, Nikita Shupletsov, nileshkumar3, Omnia Ibrahim, Paolo Patierno, Parker Chang, PoAn Yang, Rishabh Saraswat, Russole Chen, Sean Quah, Sepuri Sai Krishna, Shay Elkin, Srinivas Akhil Mallela, subbudvk, Sushant Mahajan, Tamas Kornai, TengYao Chi, Truc Nguyen, Uladzislau Blok, Zheguang Zhao, zhiyan-tang We welcome your help and feedback. For more information on how to report problems, and to get involved, visit the project website at https://kafka.apache.org/ Thank you! Regards, Jiunn-Yang Huang Release Manager for Apache Kafka 4.3.2
