Hi Josep
Thanks for running this release

Cheers,
TengYao

Apoorv Mittal <apoorvmitta...@gmail.com> 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 <mickael.mai...@gmail.com>
> wrote:
>
> > Thanks Josep for running this release!
> >
> > Mickael
> >
> > On Tue, Oct 29, 2024 at 3:23 PM Josep Prat <jlp...@apache.org> 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
> >
>

Reply via email to