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Posted to announce@apache.org by David Arthur <da...@apache.org> on 2019/10/25 03:27:31 UTC
[ANNOUNCE] Apache Kafka 2.3.1
The Apache Kafka community is pleased to announce the release for Apache
Kafka 2.3.1
This is a bugfix release for Kafka 2.3.0. All of the changes in this
release can be found in the release notes:
https://www.apache.org/dist/kafka/2.3.1/RELEASE_NOTES.html
You can download the source and binary release (with Scala 2.11 or 2.12)
from:
https://kafka.apache.org/downloads#2.3.1
---------------------------------------------------------------------------------------------------
Apache Kafka is a distributed streaming platform with four core APIs:
** The Producer API allows an application to publish a stream 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 41 contributors to this release!
A. Sophie Blee-Goldman, Arjun Satish, Bill Bejeck, Bob Barrett, Boyang
Chen, Bruno Cadonna, Cheng Pan, Chia-Ping Tsai, Chris Egerton, Chris
Stromberger, Colin P. Mccabe, Colin Patrick McCabe, cpettitt-confluent,
cwildman, David Arthur, Dhruvil Shah, Greg Harris, Gunnar Morling, Guozhang
Wang, huxi, Ismael Juma, Jason Gustafson, John Roesler, Konstantine
Karantasis, Lee Dongjin, LuyingLiu, Magesh Nandakumar, Matthias J. Sax,
Michał Borowiecki, Mickael Maison, mjarvie, Nacho Muñoz Gómez, Nigel Liang,
Paul, Rajini Sivaram, Randall Hauch, Robert Yokota, slim, Tirtha
Chatterjee, vinoth chandar, Will James
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,
David Arthur
Re: [ANNOUNCE] Apache Kafka 2.3.1
Posted by Guozhang Wang <wa...@gmail.com>.
Thanks for driving the release David!
Guozhang
On Thu, Oct 24, 2019 at 8:27 PM David Arthur <da...@apache.org> wrote:
> The Apache Kafka community is pleased to announce the release for Apache
> Kafka 2.3.1
>
> This is a bugfix release for Kafka 2.3.0. All of the changes in this
> release can be found in the release notes:
> https://www.apache.org/dist/kafka/2.3.1/RELEASE_NOTES.html
>
>
> You can download the source and binary release (with Scala 2.11 or 2.12)
> from:
> https://kafka.apache.org/downloads#2.3.1
>
>
> ---------------------------------------------------------------------------------------------------
>
>
> Apache Kafka is a distributed streaming platform with four core APIs:
>
>
> ** The Producer API allows an application to publish a stream 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 41 contributors to this release!
>
> A. Sophie Blee-Goldman, Arjun Satish, Bill Bejeck, Bob Barrett, Boyang
> Chen, Bruno Cadonna, Cheng Pan, Chia-Ping Tsai, Chris Egerton, Chris
> Stromberger, Colin P. Mccabe, Colin Patrick McCabe, cpettitt-confluent,
> cwildman, David Arthur, Dhruvil Shah, Greg Harris, Gunnar Morling, Guozhang
> Wang, huxi, Ismael Juma, Jason Gustafson, John Roesler, Konstantine
> Karantasis, Lee Dongjin, LuyingLiu, Magesh Nandakumar, Matthias J. Sax,
> Michał Borowiecki, Mickael Maison, mjarvie, Nacho Muñoz Gómez, Nigel Liang,
> Paul, Rajini Sivaram, Randall Hauch, Robert Yokota, slim, Tirtha
> Chatterjee, vinoth chandar, Will James
>
> 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,
> David Arthur
>
--
-- Guozhang