Thanks Igor and all Kafak contributors! Luke Chen <show...@gmail.com> 於 2024年7月1日 週一 下午7:10寫道：
> Thanks Igor for running this release! > > Luke > > On Mon, Jul 1, 2024 at 5:45 PM Mickael Maison <mickael.mai...@gmail.com> > wrote: > > > Congratulations! > > > > Thanks Igor for running the release. > > > > Mickael > > > > On Mon, Jul 1, 2024 at 11:26 AM Igor Soarez <soa...@apache.org> wrote: > > > > > > The Apache Kafka community is pleased to announce the release for > Apache > > Kafka 3.7.1 > > > > > > This is a bug fix release and it includes fixes and improvements. > > > > > > All of the changes in this release can be found in the release notes: > > > https://www.apache.org/dist/kafka/3.7.1/RELEASE_NOTES.html > > > > > > > > > You can download the source and binary release (Scala 2.12 and 2.13) > > from: > > > https://kafka.apache.org/downloads#3.7.1 > > > > > > > > > --------------------------------------------------------------------------------------------------- > > > > > > > > > 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 1086 contributors to this release! > > (Please report an unintended omission) > > > > > > Adrian Preston, Anatoly Popov, Andras Katona, Andrew Schofield, Anna > > Sophie Blee-Goldman, Anton Liauchuk, Apoorv Mittal, Ayoub Omari, Bill > > Bejeck, Bruno Cadonna, Calvin Liu, Cameron Redpath, Cheng-Kai Zhang, > > Chia-Ping Tsai, Chris Egerton, Colin Patrick McCabe, David Arthur, David > > Jacot, Divij Vaidya, Dmitry Werner, Edoardo Comar, flashmouse, Florin > > Akermann, Gantigmaa Selenge, Gaurav Narula, Greg Harris, Igor Soarez, > > ilyazr, Ismael Juma, Jason Gustafson, Jeff Kim, jiangyuan, Joel Hamill, > > John Yu, Johnny Hsu, José Armando García Sancio, Josep Prat, Jun Rao, > > Justine Olshan, Kamal Chandraprakash, Ken Huang, Kuan-Po (Cooper) Tseng, > > Lokesh Kumar, Luke Chen, Manikumar Reddy, Mario Pareja, Matthias J. Sax, > > Mayank Shekhar Narula, Mickael Maison, Murali Basani, Omnia Ibrahim, > Paolo > > Patierno, PoAn Yang, Sagar Rao, sanepal, Sean Quah, Sebastian Marsching, > > Stanislav Kozlovski, Vedarth Sharma, Walker Carlson, Yash Mayya > > > > > > 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, > > > > > > -- > > > Igor Soarez > > > Release Manager for Apache Kafka 3.7.1 > > >
