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Posted to dev@kafka.apache.org by Tom Bentley <to...@apache.org> on 2022/05/13 10:50:24 UTC
[ANNOUNCE] Apache Kafka 3.1.1
The Apache Kafka community is pleased to announce the release for
Apache Kafka 3.1.1
Apache Kafka 3.1.1 is a bugfix release and 30 issues have been fixed
since 3.1.0.
All of the changes in this release can be found in the release notes:
https://www.apache.org/dist/kafka/3.1.1/RELEASE_NOTES.html
You can download the source and binary release (Scala 2.13 and 2.12) from:
https://kafka.apache.org/downloads#3.1.1
---------------------------------------------------------------------------------------------------
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 28 contributors to this release!
Bounkong Khamphousone, Chris Egerton, David Jacot, dengziming, Ed B,
Edwin, Idan Kamara, Ismael Juma, Jason Gustafson, Jules Ivanic, Justin
Lee, Justine Olshan, Konstantine Karantasis, Kvicii, Luke Chen, Marc
Löhe, Matthias J. Sax, Mike Lothian, Philip Nee, prince-mahajan,
Randall Hauch, Stanislav Vodetskyi, sunshujie1990, Tom Bentley,
Vincent Jiang, Xiaobing Fang, Xiaoyue Xue, Yang Yu
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,
Tom
Re: [ANNOUNCE] Apache Kafka 3.1.1
Posted by Luke Chen <sh...@gmail.com>.
Thanks Tom!
On Mon, May 16, 2022 at 4:31 PM Bruno Cadonna <ca...@apache.org> wrote:
> Thanks Tom!
>
> On 16.05.22 10:25, David Jacot wrote:
> > Thanks for driving this release, Tom!
> >
> > On Fri, May 13, 2022 at 12:50 PM Tom Bentley <to...@apache.org>
> wrote:
> >>
> >> The Apache Kafka community is pleased to announce the release for
> >> Apache Kafka 3.1.1
> >>
> >> Apache Kafka 3.1.1 is a bugfix release and 30 issues have been fixed
> >> since 3.1.0.
> >>
> >> All of the changes in this release can be found in the release notes:
> >> https://www.apache.org/dist/kafka/3.1.1/RELEASE_NOTES.html
> >>
> >>
> >> You can download the source and binary release (Scala 2.13 and 2.12)
> from:
> >> https://kafka.apache.org/downloads#3.1.1
> >>
> >>
> ---------------------------------------------------------------------------------------------------
> >>
> >>
> >> 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 28 contributors to this release!
> >>
> >> Bounkong Khamphousone, Chris Egerton, David Jacot, dengziming, Ed B,
> >> Edwin, Idan Kamara, Ismael Juma, Jason Gustafson, Jules Ivanic, Justin
> >> Lee, Justine Olshan, Konstantine Karantasis, Kvicii, Luke Chen, Marc
> >> Löhe, Matthias J. Sax, Mike Lothian, Philip Nee, prince-mahajan,
> >> Randall Hauch, Stanislav Vodetskyi, sunshujie1990, Tom Bentley,
> >> Vincent Jiang, Xiaobing Fang, Xiaoyue Xue, Yang Yu
> >>
> >> 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,
> >> Tom
>
Re: [ANNOUNCE] Apache Kafka 3.1.1
Posted by Bruno Cadonna <ca...@apache.org>.
Thanks Tom!
On 16.05.22 10:25, David Jacot wrote:
> Thanks for driving this release, Tom!
>
> On Fri, May 13, 2022 at 12:50 PM Tom Bentley <to...@apache.org> wrote:
>>
>> The Apache Kafka community is pleased to announce the release for
>> Apache Kafka 3.1.1
>>
>> Apache Kafka 3.1.1 is a bugfix release and 30 issues have been fixed
>> since 3.1.0.
>>
>> All of the changes in this release can be found in the release notes:
>> https://www.apache.org/dist/kafka/3.1.1/RELEASE_NOTES.html
>>
>>
>> You can download the source and binary release (Scala 2.13 and 2.12) from:
>> https://kafka.apache.org/downloads#3.1.1
>>
>> ---------------------------------------------------------------------------------------------------
>>
>>
>> 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 28 contributors to this release!
>>
>> Bounkong Khamphousone, Chris Egerton, David Jacot, dengziming, Ed B,
>> Edwin, Idan Kamara, Ismael Juma, Jason Gustafson, Jules Ivanic, Justin
>> Lee, Justine Olshan, Konstantine Karantasis, Kvicii, Luke Chen, Marc
>> Löhe, Matthias J. Sax, Mike Lothian, Philip Nee, prince-mahajan,
>> Randall Hauch, Stanislav Vodetskyi, sunshujie1990, Tom Bentley,
>> Vincent Jiang, Xiaobing Fang, Xiaoyue Xue, Yang Yu
>>
>> 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,
>> Tom
Re: [ANNOUNCE] Apache Kafka 3.1.1
Posted by David Jacot <dj...@confluent.io.INVALID>.
Thanks for driving this release, Tom!
On Fri, May 13, 2022 at 12:50 PM Tom Bentley <to...@apache.org> wrote:
>
> The Apache Kafka community is pleased to announce the release for
> Apache Kafka 3.1.1
>
> Apache Kafka 3.1.1 is a bugfix release and 30 issues have been fixed
> since 3.1.0.
>
> All of the changes in this release can be found in the release notes:
> https://www.apache.org/dist/kafka/3.1.1/RELEASE_NOTES.html
>
>
> You can download the source and binary release (Scala 2.13 and 2.12) from:
> https://kafka.apache.org/downloads#3.1.1
>
> ---------------------------------------------------------------------------------------------------
>
>
> 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 28 contributors to this release!
>
> Bounkong Khamphousone, Chris Egerton, David Jacot, dengziming, Ed B,
> Edwin, Idan Kamara, Ismael Juma, Jason Gustafson, Jules Ivanic, Justin
> Lee, Justine Olshan, Konstantine Karantasis, Kvicii, Luke Chen, Marc
> Löhe, Matthias J. Sax, Mike Lothian, Philip Nee, prince-mahajan,
> Randall Hauch, Stanislav Vodetskyi, sunshujie1990, Tom Bentley,
> Vincent Jiang, Xiaobing Fang, Xiaoyue Xue, Yang Yu
>
> 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,
> Tom