Hello Josep Thanks for hard working on running this release!
Best regards, Jiunn-Yang > TengYao Chi <[email protected]> 於 2024年10月30日 凌晨12:35 寫道： > > Hi Josep > Thanks for running this release > > Cheers, > TengYao > > Apoorv Mittal <[email protected]> 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 <[email protected]> >> wrote: >> >>> Thanks Josep for running this release! >>> >>> Mickael >>> >>> On Tue, Oct 29, 2024 at 3:23 PM Josep Prat <[email protected]> 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 >>> >>
