Thank you for all the hard work, Satish.

Many years after the KIP-405 was written, we have it implemented and
finally available for beta testing for the users. It's a big milestone in
3.6.0. Kudos again to you for driving it to this milestone. I am looking
forward to hearing the feedback from users so that we can fix the paper
cuts in 3.7.0.

--
Divij Vaidya



On Wed, Oct 11, 2023 at 9:32 AM Viktor Somogyi-Vass
<viktor.somo...@cloudera.com.invalid> wrote:

> Thanks for the release Satish! :)
>
> On Wed, Oct 11, 2023, 09:30 Bruno Cadonna <cado...@apache.org> wrote:
>
> > Thanks for the release, Satish!
> >
> > Best,
> > Bruno
> >
> > On 10/11/23 8:29 AM, Luke Chen wrote:
> > > Thanks for running the release, Satish!
> > >
> > > BTW, 3.6.0 should be a major release, not a minor one. :)
> > >
> > > Luke
> > >
> > > On Wed, Oct 11, 2023 at 1:39 PM Satish Duggana <sati...@apache.org>
> > wrote:
> > >
> > >> The Apache Kafka community is pleased to announce the release for
> > >> Apache Kafka 3.6.0
> > >>
> > >> This is a minor release and it includes fixes and improvements from
> 238
> > >> JIRAs.
> > >>
> > >> All of the changes in this release can be found in the release notes:
> > >> https://www.apache.org/dist/kafka/3.6.0/RELEASE_NOTES.html
> > >>
> > >> An overview of the release can be found in our announcement blog post:
> > >> https://kafka.apache.org/blog
> > >>
> > >> You can download the source and binary release (Scala 2.12 and Scala
> > 2.13)
> > >> from:
> > >> https://kafka.apache.org/downloads#3.6.0
> > >>
> > >>
> > >>
> >
> ---------------------------------------------------------------------------------------------------
> > >>
> > >>
> > >> 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 139 contributors to this release!
> > >> (Please report an unintended omission)
> > >>
> > >> This was a community effort, so thank you to everyone who contributed
> > >> to this release, including all our users and our 139 contributors:
> > >> A. Sophie Blee-Goldman, Aaron Ai, Abhijeet Kumar, aindriu-aiven,
> > >> Akhilesh Chaganti, Alexandre Dupriez, Alexandre Garnier, Alok
> > >> Thatikunta, Alyssa Huang, Aman Singh, Andras Katona, Andrew Schofield,
> > >> Andrew Grant, Aneel Kumar, Anton Agestam, Artem Livshits, atu-sharm,
> > >> bachmanity1, Bill Bejeck, Bo Gao, Bruno Cadonna, Calvin Liu, Chaitanya
> > >> Mukka, Chase Thomas, Cheryl Simmons, Chia-Ping Tsai, Chris Egerton,
> > >> Christo Lolov, Clay Johnson, Colin P. McCabe, Colt McNealy, d00791190,
> > >> Damon Xie, Danica Fine, Daniel Scanteianu, Daniel Urban, David Arthur,
> > >> David Jacot, David Mao, dengziming, Deqi Hu, Dimitar Dimitrov, Divij
> > >> Vaidya, DL1231, Dániel Urbán, Erik van Oosten, ezio, Farooq Qaiser,
> > >> Federico Valeri, flashmouse, Florin Akermann, Gabriel Oliveira,
> > >> Gantigmaa Selenge, Gaurav Narula, GeunJae Jeon, Greg Harris, Guozhang
> > >> Wang, Hailey Ni, Hao Li, Hector Geraldino, hudeqi, hzh0425, Iblis Lin,
> > >> iit2009060, Ismael Juma, Ivan Yurchenko, James Shaw, Jason Gustafson,
> > >> Jeff Kim, Jim Galasyn, John Roesler, Joobi S B, Jorge Esteban Quilcate
> > >> Otoya, Josep Prat, Joseph (Ting-Chou) Lin, José Armando García Sancio,
> > >> Jun Rao, Justine Olshan, Kamal Chandraprakash, Keith Wall, Kirk True,
> > >> Lianet Magrans, LinShunKang, Liu Zeyu, lixy, Lucas Bradstreet, Lucas
> > >> Brutschy, Lucent-Wong, Lucia Cerchie, Luke Chen, Manikumar Reddy,
> > >> Manyanda Chitimbo, Maros Orsak, Matthew de Detrich, Matthias J. Sax,
> > >> maulin-vasavada, Max Riedel, Mehari Beyene, Michal Cabak (@miccab),
> > >> Mickael Maison, Milind Mantri, minjian.cai, mojh7, Nikolay, Okada
> > >> Haruki, Omnia G H Ibrahim, Owen Leung, Philip Nee, prasanthV, Proven
> > >> Provenzano, Purshotam Chauhan, Qichao Chu, Rajini Sivaram, Randall
> > >> Hauch, Renaldo Baur Filho, Ritika Reddy, Rittika Adhikari, Rohan, Ron
> > >> Dagostino, Sagar Rao, Said Boudjelda, Sambhav Jain, Satish Duggana,
> > >> sciclon2, Shekhar Rajak, Sungyun Hur, Sushant Mahajan, Tanay
> > >> Karmarkar, tison, Tom Bentley, vamossagar12, Victoria Xia, Vincent
> > >> Jiang, vveicc, Walker Carlson, Yash Mayya, Yi-Sheng Lien, Ziming Deng,
> > >> 蓝士钦
> > >>
> > >> 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,
> > >> Satish Duggana
> > >>
> > >
> >
>

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