Great work!
On 2026-10-27 14:48 UTC Jiunn-Yang Huang wrote: > 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 >
