Re: [ANNOUNCE] Apache Kafka 3.7.0

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Chris Egerton

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Feb 28, 2024, 12:06:15 AM2/28/24
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Thanks for running this release, Stanislav! And thanks to all the contributors who helped implement all the bug fixes and new features we got to put out this time around.

On Tue, Feb 27, 2024, 13:03 Stanislav Kozlovski <stanislav...@apache.org> wrote:
The Apache Kafka community is pleased to announce the release of
Apache Kafka 3.7.0

This is a minor release that includes new features, fixes, and
improvements from 296 JIRAs

An overview of the release and its notable changes can be found in the
release blog post:
https://kafka.apache.org/blog#apache_kafka_370_release_announcement

All of the changes in this release can be found in the release notes:
https://www.apache.org/dist/kafka/3.7.0/RELEASE_NOTES.html

You can download the source and binary release (Scala 2.12, 2.13) from:
https://kafka.apache.org/downloads#3.7.0

---------------------------------------------------------------------------------------------------


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 to the following 146 contributors to this release!
(Please report an unintended omission)

Abhijeet Kumar, Akhilesh Chaganti, Alieh, Alieh Saeedi, Almog Gavra,
Alok Thatikunta, Alyssa Huang, Aman Singh, Andras Katona, Andrew
Schofield, Anna Sophie Blee-Goldman, Anton Agestam, Apoorv Mittal,
Arnout Engelen, Arpit Goyal, Artem Livshits, Ashwin Pankaj,
ashwinpankaj, atu-sharm, bachmanity1, Bob Barrett, Bruno Cadonna,
Calvin Liu, Cerchie, chern, Chris Egerton, Christo Lolov, Colin
Patrick McCabe, Colt McNealy, Crispin Bernier, David Arthur, David
Jacot, David Mao, Deqi Hu, Dimitar Dimitrov, Divij Vaidya, Dongnuo
Lyu, Eaugene Thomas, Eduwer Camacaro, Eike Thaden, Federico Valeri,
Florin Akermann, Gantigmaa Selenge, Gaurav Narula, gongzhongqiang,
Greg Harris, Guozhang Wang, Gyeongwon, Do, Hailey Ni, Hanyu Zheng, Hao
Li, Hector Geraldino, hudeqi, Ian McDonald, Iblis Lin, Igor Soarez,
iit2009060, Ismael Juma, Jakub Scholz, James Cheng, Jason Gustafson,
Jay Wang, Jeff Kim, Jim Galasyn, John Roesler, Jorge Esteban Quilcate
Otoya, Josep Prat, José Armando García Sancio, Jotaniya Jeel, Jouni
Tenhunen, Jun Rao, Justine Olshan, Kamal Chandraprakash, Kirk True,
kpatelatwork, kumarpritam863, Laglangyue, Levani Kokhreidze, Lianet
Magrans, Liu Zeyu, Lucas Brutschy, Lucia Cerchie, Luke Chen, maniekes,
Manikumar Reddy, mannoopj, Maros Orsak, Matthew de Detrich, Matthias
J. Sax, Max Riedel, Mayank Shekhar Narula, Mehari Beyene, Michael
Westerby, Mickael Maison, Nick Telford, Nikhil Ramakrishnan, Nikolay,
Okada Haruki, olalamichelle, Omnia G.H Ibrahim, Owen Leung, Paolo
Patierno, Philip Nee, Phuc-Hong-Tran, Proven Provenzano, Purshotam
Chauhan, Qichao Chu, Matthias J. Sax, Rajini Sivaram, Renaldo Baur
Filho, Ritika Reddy, Robert Wagner, Rohan, Ron Dagostino, Roon, runom,
Ruslan Krivoshein, rykovsi, Sagar Rao, Said Boudjelda, Satish Duggana,
shuoer86, Stanislav Kozlovski, Taher Ghaleb, Tang Yunzi, TapDang,
Taras Ledkov, tkuramoto33, Tyler Bertrand, vamossagar12, Vedarth
Sharma, Viktor Somogyi-Vass, Vincent Jiang, Walker Carlson,
Wuzhengyu97, Xavier Léauté, Xiaobing Fang, yangy0000, Ritika Reddy,
Yanming Zhou, Yash Mayya, yuyli, zhaohaidao, Zihao Lin, Ziming Deng

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,

Stanislav Kozlovski
Release Manager for Apache Kafka 3.7.0

Bruno Cadonna

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Feb 28, 2024, 3:13:34 AM2/28/24
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Thanks Stan and all contributors for the release!

Best,
Bruno

Satish Duggana

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Feb 28, 2024, 4:04:30 AM2/28/24
to Bruno Cadonna, us...@kafka.apache.org, d...@kafka.apache.org, kafka-...@googlegroups.com
Thanks Stanislav for all your hard work on running the release. Thanks
to all the contributors to this release.
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Divij Vaidya

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Feb 28, 2024, 6:21:40 AM2/28/24
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Thank you Stanislav for running the release, especially fixing the whole mess with out of sync site docs in different branches. Really appreciate your hard work on this one.

Thank you all contributors! Your contributions is what makes Apache Kafka community awesome <3

There are many impactful changes in this release but the one closest to my heart is https://issues.apache.org/jira/browse/KAFKA-15046. I am very glad this is fixed. The P999 latency spikes were driving me crazy for a long time now.

--
Divij Vaidya


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