Thanks Lianet for running the release. Regards, Apoorv Mittal
On Fri, Nov 14, 2025 at 1:35 PM Chia-Ping Tsai <[email protected]> wrote: > Thanks to Lianet for making this release happen! > > > Lianet Magrans <[email protected]> 於 2025年11月14日 晚上9:28 寫道： > > > > The Apache Kafka community is pleased to announce the release for > > Apache Kafka 4.1.1 > > > > This bug-fix release includes several critical fixes, notably for > > Kafka Streams and > > Connect, as well as for other components. > > > > All of the changes in this release can be found in the release notes: > > https://www.apache.org/dist/kafka/4.1.1/RELEASE_NOTES.html > > > > An overview of the release can be found in our announcement blog post: > > https://kafka.apache.org/blog#apache_kafka_411_release_announcement > > > > You can download the source and binary release from: > > https://kafka.apache.org/downloads#4.1.1 > > > > > --------------------------------------------------------------------------------------------------- > > > > 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 32 contributors to this release! > > (Please report an unintended omission) > > > > Abhinav Dixit, Andrew Schofield, Apoorv Mittal, Bill Bejeck, Calvin > > Liu, Chia-Ping Tsai, Copilot, David Jacot, Dongnuo Lyu, Eduwer > > Camacaro, Fatih, Genseric Ghiro, Greg Harris, Izzy Harker, Jun Rao, > > Kevin Wu, Kuan-Po Tseng, Lan Ding, Lianet Magrans, Lucas Brutschy, > > Luke Chen, majialong, Manikumar Reddy, Masahiro Mori, Matthias J. Sax, > > Mickael Maison, Nikita Shupletsov, Ritika Reddy, Sean Quah, Shashank, > > Shivsundar R, Sushant Mahajan > > > > > > 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, > > > > Lianet Magrans > > Release Manager for Apache Kafka 4.1.1 >
