Hi Igor, Thanks for the release. Since this is the highest version available, we should also promote newer docker image with apache/kafka:latest docker tag.
Thanks. On Mon, Jul 1, 2024 at 9:54 PM Igor Soarez <soa...@apache.org> wrote: > > A correction to a funny mistake in my previous message: > That's *61 contributors* to this release, not 1086! > > -- > Igor Soarez > > On Mon, Jul 1, 2024, at 11:25 AM, Igor Soarez 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 > >
