Thanks for running the release. Jiunn-Yang
> Luke Chen <show...@gmail.com> 於 2024年12月14日 下午3:41 寫道： > > 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 >>>> >>>> >>>> >>> >>
