Thanks for running this release!

Best,

On Mon, Dec 11, 2023 at 8:35 AM Bruno Cadonna <cado...@apache.org> wrote:

> Thanks for managing the release, Mickael!
>
> Best,
> Bruno
>
> On 12/8/23 12:44 PM, Luke Chen wrote:
> > Hi Mickael,
> >
> > Thanks for running this release!
> >
> > Luke
> >
> > On Thu, Dec 7, 2023 at 7:13 PM Mickael Maison <mimai...@apache.org>
> wrote:
> >
> >> The Apache Kafka community is pleased to announce the release for
> >> Apache Kafka 3.6.1
> >>
> >> This is a bug fix release and it includes fixes and improvements from 30
> >> JIRAs.
> >>
> >> All of the changes in this release can be found in the release notes:
> >> https://www.apache.org/dist/kafka/3.6.1/RELEASE_NOTES.html
> >>
> >> You can download the source and binary release (Scala 2.12 and Scala
> 2.13)
> >> from:
> >> https://kafka.apache.org/downloads#3.6.1
> >>
> >>
> >>
> ---------------------------------------------------------------------------------------------------
> >>
> >> 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 39 contributors to this release!
> >> (Please report an unintended omission)
> >>
> >> Anna Sophie Blee-Goldman, Arpit Goyal, atu-sharm, Bill Bejeck, Chris
> >> Egerton, Colin P. McCabe, David Arthur, David Jacot, Divij Vaidya,
> >> Federico Valeri, Greg Harris, Guozhang Wang, Hao Li, hudeqi,
> >> iit2009060, Ismael Juma, Jorge Esteban Quilcate Otoya, Josep Prat,
> >> Jotaniya Jeel, Justine Olshan, Kamal Chandraprakash, kumarpritam863,
> >> Levani Kokhreidze, Lucas Brutschy, Luke Chen, Manikumar Reddy,
> >> Matthias J. Sax, Mayank Shekhar Narula, Mickael Maison, Nick Telford,
> >> Philip Nee, Qichao Chu, Rajini Sivaram, Robert Wagner, Sagar Rao,
> >> Satish Duggana, Walker Carlson, Xiaobing Fang, 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,
> >> Mickael
> >>
> >
>


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