Hi Josep, Thanks for the effort to run the release!
Luke On Wed, Oct 30, 2024 at 2:01 AM 黃竣陽 <s7133...@gmail.com> wrote: > Hello Josep > > Thanks for hard working on running this release! > > Best regards, > Jiunn-Yang > > > TengYao Chi <kiting...@gmail.com> 於 2024年10月30日 凌晨12:35 寫道： > > > > Hi Josep > > Thanks for running this release > > > > Cheers, > > TengYao > > > > Apoorv Mittal <apoorvmitta...@gmail.com> 於 2024年10月30日 週三 上午12:18寫道： > > > >> Thanks Josep for all the hard work for the release. > >> > >> Regards, > >> Apoorv Mittal > >> > >> > >> > >> On Tue, Oct 29, 2024 at 2:51 PM Mickael Maison < > mickael.mai...@gmail.com> > >> wrote: > >> > >>> Thanks Josep for running this release! > >>> > >>> Mickael > >>> > >>> On Tue, Oct 29, 2024 at 3:23 PM Josep Prat <jlp...@apache.org> wrote: > >>>> > >>>> The Apache Kafka community is pleased to announce the release for > >>>> Apache Kafka 3.8.1 > >>>> > >>>> 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/3.8.1/RELEASE_NOTES.html > >>>> > >>>> > >>>> An overview of the release can be found in our announcement blog post: > >>>> https://kafka.apache.org/blog#apache_kafka_381_release_announcement > >>>> > >>>> You can download the source and binary release (Scala <VERSIONS>) > from: > >>>> https://kafka.apache.org/downloads#3.8.1 > >>>> > >>>> > >>> > >> > --------------------------------------------------------------------------------------------------- > >>>> > >>>> > >>>> 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 24 contributors to this release! > >>>> (Please report an unintended omission) > >>>> > >>>> Andrew Schofield, Apoorv Mittal, Bill Bejeck, Bruno Cadonna, Chia-Ping > >>>> Tsai, Chris Egerton, Colin P. McCabe, David Arthur, Guillaume Mallet, > >>>> Igor Soarez, Josep Prat, Justine Olshan, Ken Huang, Kondrat Bertalan, > >>>> Kuan-Po Tseng, Luke Chen, Manikumar Reddy, Matthias J. Sax, Mickael > >>>> Maison, PoAn Yang, Rohan, TengYao Chi, 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, > >>>> > >>>> Josep Prat > >>>> Release Manager for Apache Kafka 3.8.1 > >>> > >> > >
