Thanks for running the release, Matthias! Luke
On Sat, Dec 14, 2024 at 3:21 PM David Jacot <david.ja...@gmail.com> wrote: > Thanks for running the release! > > Le sam. 14 déc. 2024 à 00:33, Bill Bejeck <bbej...@gmail.com> a écrit : > > > Thanks for running the release, Matthias! > > This one has some important fixes. > > > > -Bill > > > > On Fri, Dec 13, 2024 at 6:17 PM Matthias J. Sax <mj...@apache.org> > wrote: > > > > > The Apache Kafka community is pleased to announce the release for > Apache > > > Kafka 3.7.2 > > > > > > This is a bug-fix release, closing 21 Jira tickets. > > > > > > All of the changes in this release can be found in the release notes: > > > https://www.apache.org/dist/kafka/3.7.2/RELEASE_NOTES.html > > > > > > You can download the source and binary release (Scala 2.12 and 2.13) > > from: > > > https://kafka.apache.org/downloads#3.7.2 > > > > > > > > > > > > --------------------------------------------------------------------------------------------------- > > > > > > > > > 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 31 contributors to this release! > > > (Please report an unintended omission) > > > > > > Andrew Schofield, Apoorv Mittal, Bill Bejeck, Chia-Ping Tsai, Chris > > > Egerton, Christo Lolov, Colin P. McCabe, Colin Patrick McCabe, David > > > Arthur, Divij Vaidya, Dmitry Werner, Gaurav Narula, Greg Harris, Igor > > > Soarez, Josep Prat, Ken Huang, Kirk True, Kondrat Bertalan, Kuan-Po > > > Tseng, Laxman Ch, Lianet Magrans, Luke Chen, Manikumar Reddy, Matthias > > > J. Sax, Mickael Maison, Omnia Ibrahim, PoAn Yang, Rohan, TengYao Chi, > > > Vedarth Sharma, Vikas Singh > > > > > > 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, > > > -Matthias J. Sax > > > > > > Release Manager for Apache Kafka 3.7.2 > > > > > > > > > > > >
