You are viewing a plain text version of this content. The canonical link for it is here.
Posted to users@kafka.apache.org by Bruno Cadonna <ca...@apache.org> on 2022/03/14 11:19:07 UTC
Re: [kafka-clients] [ANNOUNCE] Apache Kafka 3.0.1
Thanks Mickael for driving this release!
Best,
Bruno
On 14.03.22 11:42, Mickael Maison wrote:
> The Apache Kafka community is pleased to announce the release for
> Apache Kafka 3.0.1
>
> Apache Kafka 3.0.1 is a bugfix release and 29 issues have been fixed
> since 3.0.0.
>
> All of the changes in this release can be found in the release notes:
> https://www.apache.org/dist/kafka/3.0.1/RELEASE_NOTES.html
>
>
> You can download the source and binary release (Scala 2.12 and 2.13) from:
> https://kafka.apache.org/downloads#3.0.1
>
> ---------------------------------------------------------------------------------------------------
>
>
> 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 26 contributors to this release!
>
> A. Sophie Blee-Goldman, Andras Katona, Bruno Cadonna, Chris Egerton,
> Cong Ding, David Jacot, dengziming, Edoardo Comar, Ismael Juma, Jason
> Gustafson, jiangyuan, Kevin Zhang, Konstantine Karantasis, Lee
> Dongjin, Luke Chen, Marc Löhe, Matthias J. Sax, Michael Carter,
> Mickael Maison, Oliver Hutchison, Philip Nee, Prateek Agarwal,
> prince-mahajan, Rajini Sivaram, Randall Hauch, Walker Carlson
>
> 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 Maison
>
Re: [kafka-clients] [ANNOUNCE] Apache Kafka 3.0.1
Posted by Josep Prat <jo...@aiven.io.INVALID>.
Thank you Mickael!
On Mon, Mar 14, 2022 at 6:47 PM John Roesler <vv...@apache.org> wrote:
> Yes, thank you, Mickael!
> -John
>
> On Mon, 2022-03-14 at 12:19 +0100, Bruno Cadonna wrote:
> > Thanks Mickael for driving this release!
> >
> > Best,
> > Bruno
> >
> > On 14.03.22 11:42, Mickael Maison wrote:
> > > The Apache Kafka community is pleased to announce the release for
> > > Apache Kafka 3.0.1
> > >
> > > Apache Kafka 3.0.1 is a bugfix release and 29 issues have been fixed
> > > since 3.0.0.
> > >
> > > All of the changes in this release can be found in the release notes:
> > > https://www.apache.org/dist/kafka/3.0.1/RELEASE_NOTES.html
> > >
> > >
> > > You can download the source and binary release (Scala 2.12 and 2.13)
> from:
> > > https://kafka.apache.org/downloads#3.0.1
> > >
> > >
> ---------------------------------------------------------------------------------------------------
> > >
> > >
> > > 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 26 contributors to this release!
> > >
> > > A. Sophie Blee-Goldman, Andras Katona, Bruno Cadonna, Chris Egerton,
> > > Cong Ding, David Jacot, dengziming, Edoardo Comar, Ismael Juma, Jason
> > > Gustafson, jiangyuan, Kevin Zhang, Konstantine Karantasis, Lee
> > > Dongjin, Luke Chen, Marc Löhe, Matthias J. Sax, Michael Carter,
> > > Mickael Maison, Oliver Hutchison, Philip Nee, Prateek Agarwal,
> > > prince-mahajan, Rajini Sivaram, Randall Hauch, Walker Carlson
> > >
> > > 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 Maison
> > >
>
>
--
Josep Prat
*Aiven Deutschland GmbH*
Immanuelkirchstraße 26, 10405 Berlin
Amtsgericht Charlottenburg, HRB 209739 B
Geschäftsführer: Oskari Saarenmaa & Hannu Valtonen
*m:* +491715557497
*w:* aiven.io
*e:* josep.prat@aiven.io
Re: [kafka-clients] [ANNOUNCE] Apache Kafka 3.0.1
Posted by John Roesler <vv...@apache.org>.
Yes, thank you, Mickael!
-John
On Mon, 2022-03-14 at 12:19 +0100, Bruno Cadonna wrote:
> Thanks Mickael for driving this release!
>
> Best,
> Bruno
>
> On 14.03.22 11:42, Mickael Maison wrote:
> > The Apache Kafka community is pleased to announce the release for
> > Apache Kafka 3.0.1
> >
> > Apache Kafka 3.0.1 is a bugfix release and 29 issues have been fixed
> > since 3.0.0.
> >
> > All of the changes in this release can be found in the release notes:
> > https://www.apache.org/dist/kafka/3.0.1/RELEASE_NOTES.html
> >
> >
> > You can download the source and binary release (Scala 2.12 and 2.13) from:
> > https://kafka.apache.org/downloads#3.0.1
> >
> > ---------------------------------------------------------------------------------------------------
> >
> >
> > 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 26 contributors to this release!
> >
> > A. Sophie Blee-Goldman, Andras Katona, Bruno Cadonna, Chris Egerton,
> > Cong Ding, David Jacot, dengziming, Edoardo Comar, Ismael Juma, Jason
> > Gustafson, jiangyuan, Kevin Zhang, Konstantine Karantasis, Lee
> > Dongjin, Luke Chen, Marc Löhe, Matthias J. Sax, Michael Carter,
> > Mickael Maison, Oliver Hutchison, Philip Nee, Prateek Agarwal,
> > prince-mahajan, Rajini Sivaram, Randall Hauch, Walker Carlson
> >
> > 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 Maison
> >