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 >
