Congratulations! Kudos to everyone who contributed to this milestone! On Mon, Oct 13, 2025 at 11:13 AM Chia-Ping Tsai <[email protected]> wrote:
> Thank you for a successful Kafka 4.0.1 release, Christo. Your hard work > made it happen! > > Mickael Maison <[email protected]> 於 2025年10月14日 週二 上午12:53寫道： > > > Congratulations! > > > > Thanks to all the contributors and thanks to Christo for running your > > first release! > > > > Mickael > > > > On Mon, Oct 13, 2025 at 6:42 PM Christo Lolov <[email protected]> wrote: > > > > > > The Apache Kafka community is pleased to announce the release for > Apache > > > Kafka 4.0.1 > > > > > > This bug-fix has over 40 improvements since 4.0.0! > > > > > > All of the changes in this release can be found in the release notes: > > > https://www.apache.org/dist/kafka/4.0.1/RELEASE_NOTES.html > > > > > > > > > An overview of the release can be found in our announcement blog post: > > > https://kafka.apache.org/blog#apache_kafka_401_release_announcement > > > > > > You can download the source and binary release (Scala 2.13) from: > > > https://kafka.apache.org/downloads#4.0.1 > > > > > > > > > --------------------------------------------------------------------------------------------------- > > > > > > > > > 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 53 contributors to this release! > > (Please > > > report an unintended omission) > > > > > > Alyssa Huang, Andrew Schofield, Andy Li, Anna Sophie Blee-Goldman, > Apoorv > > > Mittal, Ayoub Omari, Azhar Ahmed, Bill Bejeck, Calvin Liu, Chia-Ping > > Tsai, > > > ChickenchickenLove, Christo Lolov, Clemens Hutter, Colin Patrick > McCabe, > > > David Arthur, David Jacot, Dmitry Werner, Dongnuo Lyu, Florian > > Hussonnois, > > > Gaurav Narula, Hong-Yi Chen, Ismael Juma, Jared Harley, Jorge Esteban > > > Quilcate Otoya, José Armando García Sancio, Jun Rao, Justine Olshan, > > Kamal > > > Chandraprakash, Kaushik Raina, Kuan-Po Tseng, Lan Ding, Logan Zhu, > Lucas > > > Brutschy, Luke Chen, Manikumar Reddy, Matthias J. Sax, Mickael Maison, > > > Ming-Yen Chung, mingdaoy, nilmadhab mondal, Okada Haruki, Omnia > Ibrahim, > > > Parker Chang, PoAn Yang, Rajini Sivaram, Ritika Reddy, Sean Quah, > Shaan, > > > Dongnuo Lyu, Shashank, TengYao Chi, Tsung-Han Ho (Miles Ho), Vincent > > > PÉRICART, Xuan-Zhang Gong > > > > > > 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, > > > > > > Christo Lolov > > > Release Manager for Apache Kafka 4.0.1 > > >
