Thanks for running the release! Luke
On Wed, Oct 28, 2026 at 1:05 AM Chia-Ping Tsai <[email protected]> wrote: > 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 > > >
