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From Rajini Sivaram <rajinisiva...@gmail.com>
Subject Re: [ANNOUNCE] Apache Kafka 0.10.2.2 Released
Date Wed, 04 Jul 2018 09:23:02 GMT
Thanks for driving the release, Matthias!

On Tue, Jul 3, 2018 at 8:48 PM, Matthias J. Sax <mjsax@apache.org> wrote:

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> The Apache Kafka community is pleased to announce the release for
> Apache Kafka 0.10.2.2.
>
>
> This is a bug fix release and it includes fixes and improvements from
> 29 JIRAs, including a few critical bugs.
>
>
> All of the changes in this release can be found in the release notes:
>
>
> https://dist.apache.org/repos/dist/release/kafka/0.10.2.2/RELEASE_NOTES.
> html
>
>
>
> You can download the source release from:
>
>
> https://www.apache.org/dyn/closer.cgi?path=/kafka/0.10.2.2/kafka-0.10.2.
> 2-src.tgz
>
>
> and binary releases from:
>
>
> https://www.apache.org/dyn/closer.cgi?path=/kafka/0.10.2.2/kafka_2.11-0.
> 10.2.2.tgz
> (Scala 2.11)
>
> https://www.apache.org/dyn/closer.cgi?path=/kafka/0.10.2.2/kafka_2.12-0.
> 10.2.2.tgz
> (Scala 2.12)
>
>
> - ------------------------------------------------------------------------
> - ---------------------------
>
>
> 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.three key capabilities:
>
>
>
> 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 30 contributors to this release!
>
>
> Ewen Cheslack-Postava, Matthias J. Sax, Randall Hauch, Eno Thereska,
> Damian Guy, Rajini Sivaram, Colin P. Mccabe, Kelvin Rutt, Kyle
> Winkelman, Max Zheng, Guozhang Wang, Xavier Léauté, Konstantine
> Karantasis, Paolo Patierno, Robert Yokota, Tommy Becker, Arjun Satish,
> Xi Hu, Armin Braun, Edoardo Comar, Gunnar Morling, Gwen Shapira,
> Hooman Broujerdi, Ismael Juma, Jaikiran Pai, Jarek Rudzinski, Jason
> Gustafson, Jun Rao, Manikumar Reddy, Maytee Chinavanichkit
>
>
> We welcome your help and feedback. For more information on how to
> report problems, and to get involved, visit the project website at
> http://kafka.apache.org/
>
>
> Thank you!
>
>
> Regards,
>  -Matthias
>
>
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