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Posted to announce@apache.org by Igor Soarez <so...@apache.org> on 2024/07/01 09:25:10 UTC
[ANNOUNCE] Apache Kafka 3.7.1
The Apache Kafka community is pleased to announce the release for Apache Kafka 3.7.1
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/3.7.1/RELEASE_NOTES.html
You can download the source and binary release (Scala 2.12 and 2.13) from:
https://kafka.apache.org/downloads#3.7.1
---------------------------------------------------------------------------------------------------
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 1086 contributors to this release! (Please report an unintended omission)
Adrian Preston, Anatoly Popov, Andras Katona, Andrew Schofield, Anna Sophie Blee-Goldman, Anton Liauchuk, Apoorv Mittal, Ayoub Omari, Bill Bejeck, Bruno Cadonna, Calvin Liu, Cameron Redpath, Cheng-Kai Zhang, Chia-Ping Tsai, Chris Egerton, Colin Patrick McCabe, David Arthur, David Jacot, Divij Vaidya, Dmitry Werner, Edoardo Comar, flashmouse, Florin Akermann, Gantigmaa Selenge, Gaurav Narula, Greg Harris, Igor Soarez, ilyazr, Ismael Juma, Jason Gustafson, Jeff Kim, jiangyuan, Joel Hamill, John Yu, Johnny Hsu, José Armando García Sancio, Josep Prat, Jun Rao, Justine Olshan, Kamal Chandraprakash, Ken Huang, Kuan-Po (Cooper) Tseng, Lokesh Kumar, Luke Chen, Manikumar Reddy, Mario Pareja, Matthias J. Sax, Mayank Shekhar Narula, Mickael Maison, Murali Basani, Omnia Ibrahim, Paolo Patierno, PoAn Yang, Sagar Rao, sanepal, Sean Quah, Sebastian Marsching, Stanislav Kozlovski, Vedarth Sharma, Walker Carlson, 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,
--
Igor Soarez
Release Manager for Apache Kafka 3.7.1
Re: [ANNOUNCE] Apache Kafka 3.7.1
Posted by Chia-Ping Tsai <ch...@gmail.com>.
Thanks Igor and all Kafak contributors!
Luke Chen <sh...@gmail.com> 於 2024年7月1日 週一 下午7:10寫道：
> Thanks Igor for running this release!
>
> Luke
>
> On Mon, Jul 1, 2024 at 5:45 PM Mickael Maison <mi...@gmail.com>
> wrote:
>
> > Congratulations!
> >
> > Thanks Igor for running the release.
> >
> > Mickael
> >
> > On Mon, Jul 1, 2024 at 11:26 AM Igor Soarez <so...@apache.org> wrote:
> > >
> > > The Apache Kafka community is pleased to announce the release for
> Apache
> > Kafka 3.7.1
> > >
> > > 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/3.7.1/RELEASE_NOTES.html
> > >
> > >
> > > You can download the source and binary release (Scala 2.12 and 2.13)
> > from:
> > > https://kafka.apache.org/downloads#3.7.1
> > >
> > >
> >
> ---------------------------------------------------------------------------------------------------
> > >
> > >
> > > 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 1086 contributors to this release!
> > (Please report an unintended omission)
> > >
> > > Adrian Preston, Anatoly Popov, Andras Katona, Andrew Schofield, Anna
> > Sophie Blee-Goldman, Anton Liauchuk, Apoorv Mittal, Ayoub Omari, Bill
> > Bejeck, Bruno Cadonna, Calvin Liu, Cameron Redpath, Cheng-Kai Zhang,
> > Chia-Ping Tsai, Chris Egerton, Colin Patrick McCabe, David Arthur, David
> > Jacot, Divij Vaidya, Dmitry Werner, Edoardo Comar, flashmouse, Florin
> > Akermann, Gantigmaa Selenge, Gaurav Narula, Greg Harris, Igor Soarez,
> > ilyazr, Ismael Juma, Jason Gustafson, Jeff Kim, jiangyuan, Joel Hamill,
> > John Yu, Johnny Hsu, José Armando García Sancio, Josep Prat, Jun Rao,
> > Justine Olshan, Kamal Chandraprakash, Ken Huang, Kuan-Po (Cooper) Tseng,
> > Lokesh Kumar, Luke Chen, Manikumar Reddy, Mario Pareja, Matthias J. Sax,
> > Mayank Shekhar Narula, Mickael Maison, Murali Basani, Omnia Ibrahim,
> Paolo
> > Patierno, PoAn Yang, Sagar Rao, sanepal, Sean Quah, Sebastian Marsching,
> > Stanislav Kozlovski, Vedarth Sharma, Walker Carlson, 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,
> > >
> > > --
> > > Igor Soarez
> > > Release Manager for Apache Kafka 3.7.1
> >
>
Re: [ANNOUNCE] Apache Kafka 3.7.1
Posted by Luke Chen <sh...@gmail.com>.
Thanks Igor for running this release!
Luke
On Mon, Jul 1, 2024 at 5:45 PM Mickael Maison <mi...@gmail.com>
wrote:
> Congratulations!
>
> Thanks Igor for running the release.
>
> Mickael
>
> On Mon, Jul 1, 2024 at 11:26 AM Igor Soarez <so...@apache.org> wrote:
> >
> > The Apache Kafka community is pleased to announce the release for Apache
> Kafka 3.7.1
> >
> > 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/3.7.1/RELEASE_NOTES.html
> >
> >
> > You can download the source and binary release (Scala 2.12 and 2.13)
> from:
> > https://kafka.apache.org/downloads#3.7.1
> >
> >
> ---------------------------------------------------------------------------------------------------
> >
> >
> > 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 1086 contributors to this release!
> (Please report an unintended omission)
> >
> > Adrian Preston, Anatoly Popov, Andras Katona, Andrew Schofield, Anna
> Sophie Blee-Goldman, Anton Liauchuk, Apoorv Mittal, Ayoub Omari, Bill
> Bejeck, Bruno Cadonna, Calvin Liu, Cameron Redpath, Cheng-Kai Zhang,
> Chia-Ping Tsai, Chris Egerton, Colin Patrick McCabe, David Arthur, David
> Jacot, Divij Vaidya, Dmitry Werner, Edoardo Comar, flashmouse, Florin
> Akermann, Gantigmaa Selenge, Gaurav Narula, Greg Harris, Igor Soarez,
> ilyazr, Ismael Juma, Jason Gustafson, Jeff Kim, jiangyuan, Joel Hamill,
> John Yu, Johnny Hsu, José Armando García Sancio, Josep Prat, Jun Rao,
> Justine Olshan, Kamal Chandraprakash, Ken Huang, Kuan-Po (Cooper) Tseng,
> Lokesh Kumar, Luke Chen, Manikumar Reddy, Mario Pareja, Matthias J. Sax,
> Mayank Shekhar Narula, Mickael Maison, Murali Basani, Omnia Ibrahim, Paolo
> Patierno, PoAn Yang, Sagar Rao, sanepal, Sean Quah, Sebastian Marsching,
> Stanislav Kozlovski, Vedarth Sharma, Walker Carlson, 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,
> >
> > --
> > Igor Soarez
> > Release Manager for Apache Kafka 3.7.1
>
Re: [ANNOUNCE] Apache Kafka 3.7.1
Posted by Mickael Maison <mi...@gmail.com>.
Congratulations!
Thanks Igor for running the release.
Mickael
On Mon, Jul 1, 2024 at 11:26 AM Igor Soarez <so...@apache.org> wrote:
>
> The Apache Kafka community is pleased to announce the release for Apache Kafka 3.7.1
>
> 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/3.7.1/RELEASE_NOTES.html
>
>
> You can download the source and binary release (Scala 2.12 and 2.13) from:
> https://kafka.apache.org/downloads#3.7.1
>
> ---------------------------------------------------------------------------------------------------
>
>
> 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 1086 contributors to this release! (Please report an unintended omission)
>
> Adrian Preston, Anatoly Popov, Andras Katona, Andrew Schofield, Anna Sophie Blee-Goldman, Anton Liauchuk, Apoorv Mittal, Ayoub Omari, Bill Bejeck, Bruno Cadonna, Calvin Liu, Cameron Redpath, Cheng-Kai Zhang, Chia-Ping Tsai, Chris Egerton, Colin Patrick McCabe, David Arthur, David Jacot, Divij Vaidya, Dmitry Werner, Edoardo Comar, flashmouse, Florin Akermann, Gantigmaa Selenge, Gaurav Narula, Greg Harris, Igor Soarez, ilyazr, Ismael Juma, Jason Gustafson, Jeff Kim, jiangyuan, Joel Hamill, John Yu, Johnny Hsu, José Armando García Sancio, Josep Prat, Jun Rao, Justine Olshan, Kamal Chandraprakash, Ken Huang, Kuan-Po (Cooper) Tseng, Lokesh Kumar, Luke Chen, Manikumar Reddy, Mario Pareja, Matthias J. Sax, Mayank Shekhar Narula, Mickael Maison, Murali Basani, Omnia Ibrahim, Paolo Patierno, PoAn Yang, Sagar Rao, sanepal, Sean Quah, Sebastian Marsching, Stanislav Kozlovski, Vedarth Sharma, Walker Carlson, 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,
>
> --
> Igor Soarez
> Release Manager for Apache Kafka 3.7.1
Re: [ANNOUNCE] Apache Kafka 3.7.1
Posted by Igor Soarez <i...@soarez.me>.
Hi Manikumar,
Thanks for pointing this out. The apache/kafka:latest has now been updated from apache/kafka:3.7.1.
Best,
--
Igor
Re: [ANNOUNCE] Apache Kafka 3.7.1
Posted by Manikumar <ma...@gmail.com>.
Hi Igor,
Thanks for the release.
Since this is the highest version available, we should also promote
newer docker image with apache/kafka:latest docker tag.
Thanks.
On Mon, Jul 1, 2024 at 9:54 PM Igor Soarez <so...@apache.org> wrote:
>
> A correction to a funny mistake in my previous message:
> That's *61 contributors* to this release, not 1086!
>
> --
> Igor Soarez
>
> On Mon, Jul 1, 2024, at 11:25 AM, Igor Soarez wrote:
> > The Apache Kafka community is pleased to announce the release for Apache Kafka 3.7.1
> >
> > 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/3.7.1/RELEASE_NOTES.html
> >
> >
> > You can download the source and binary release (Scala 2.12 and 2.13) from:
> > https://kafka.apache.org/downloads#3.7.1
> >
> > ---------------------------------------------------------------------------------------------------
> >
> >
> > 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 1086 contributors to this release! (Please report an unintended omission)
> >
> > Adrian Preston, Anatoly Popov, Andras Katona, Andrew Schofield, Anna Sophie Blee-Goldman, Anton Liauchuk, Apoorv Mittal, Ayoub Omari, Bill Bejeck, Bruno Cadonna, Calvin Liu, Cameron Redpath, Cheng-Kai Zhang, Chia-Ping Tsai, Chris Egerton, Colin Patrick McCabe, David Arthur, David Jacot, Divij Vaidya, Dmitry Werner, Edoardo Comar, flashmouse, Florin Akermann, Gantigmaa Selenge, Gaurav Narula, Greg Harris, Igor Soarez, ilyazr, Ismael Juma, Jason Gustafson, Jeff Kim, jiangyuan, Joel Hamill, John Yu, Johnny Hsu, José Armando García Sancio, Josep Prat, Jun Rao, Justine Olshan, Kamal Chandraprakash, Ken Huang, Kuan-Po (Cooper) Tseng, Lokesh Kumar, Luke Chen, Manikumar Reddy, Mario Pareja, Matthias J. Sax, Mayank Shekhar Narula, Mickael Maison, Murali Basani, Omnia Ibrahim, Paolo Patierno, PoAn Yang, Sagar Rao, sanepal, Sean Quah, Sebastian Marsching, Stanislav Kozlovski, Vedarth Sharma, Walker Carlson, 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,
> >
> > --
> > Igor Soarez
> > Release Manager for Apache Kafka 3.7.1
> >