Thanks for running the release Matthias!

------------------
Josep Prat
Open Source Engineering Director, Aiven
josep.p...@aiven.io   |   +491715557497 | aiven.io
Aiven Deutschland GmbH
Alexanderufer 3-7, 10117 Berlin
Geschäftsführer: Oskari Saarenmaa, Hannu Valtonen,
Anna Richardson, Kenneth Chen
Amtsgericht Charlottenburg, HRB 209739 B

On Sat, Dec 14, 2024, 08:56 黃竣陽 <s7133...@gmail.com> wrote:

> Thanks for running the release.
>
> Jiunn-Yang
>
> > Luke Chen <show...@gmail.com> 於 2024年12月14日 下午3:41 寫道:
> >
> > Thanks for running the release, Matthias!
> >
> > Luke
> >
> > On Sat, Dec 14, 2024 at 3:21 PM David Jacot <david.ja...@gmail.com>
> wrote:
> >
> >> Thanks for running the release!
> >>
> >> Le sam. 14 déc. 2024 à 00:33, Bill Bejeck <bbej...@gmail.com> a écrit :
> >>
> >>> Thanks for running the release, Matthias!
> >>> This one has some important fixes.
> >>>
> >>> -Bill
> >>>
> >>> On Fri, Dec 13, 2024 at 6:17 PM Matthias J. Sax <mj...@apache.org>
> >> wrote:
> >>>
> >>>> The Apache Kafka community is pleased to announce the release for
> >> Apache
> >>>> Kafka 3.7.2
> >>>>
> >>>> This is a bug-fix release, closing 21 Jira tickets.
> >>>>
> >>>> All of the changes in this release can be found in the release notes:
> >>>> https://www.apache.org/dist/kafka/3.7.2/RELEASE_NOTES.html
> >>>>
> >>>> You can download the source and binary release (Scala 2.12 and 2.13)
> >>> from:
> >>>> https://kafka.apache.org/downloads#3.7.2
> >>>>
> >>>>
> >>>>
> >>>
> >>
> ---------------------------------------------------------------------------------------------------
> >>>>
> >>>>
> >>>> 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 31 contributors to this release!
> >>>> (Please report an unintended omission)
> >>>>
> >>>> Andrew Schofield, Apoorv Mittal, Bill Bejeck, Chia-Ping Tsai, Chris
> >>>> Egerton, Christo Lolov, Colin P. McCabe, Colin Patrick McCabe, David
> >>>> Arthur, Divij Vaidya, Dmitry Werner, Gaurav Narula, Greg Harris, Igor
> >>>> Soarez, Josep Prat, Ken Huang, Kirk True, Kondrat Bertalan, Kuan-Po
> >>>> Tseng, Laxman Ch, Lianet Magrans, Luke Chen, Manikumar Reddy, Matthias
> >>>> J. Sax, Mickael Maison, Omnia Ibrahim, PoAn Yang, Rohan, TengYao Chi,
> >>>> Vedarth Sharma, 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,
> >>>>   -Matthias J. Sax
> >>>>
> >>>> Release Manager for Apache Kafka 3.7.2
> >>>>
> >>>>
> >>>>
> >>>
> >>
>
>

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