You are viewing a plain text version of this content. The canonical link for it is here.
Posted to dev@kafka.apache.org by David Arthur <da...@apache.org> on 2023/02/07 17:01:01 UTC

[ANNOUNCE] Apache Kafka 3.4.0

The Apache Kafka community is pleased to announce the release of
Apache Kafka 3.4.0.

This is a major release and it includes fixes and improvements from
over 120 JIRAs.

All of the changes in this release can be found in the release notes:
https://www.apache.org/dist/kafka/3.4.0/RELEASE_NOTES.html

An overview of the release can be found in our announcement blog post:
https://blogs.apache.org/kafka/entry/what-s-new-in-apache9

You can download the source and binary release (Scala 2.11 and Scala 2.12) from:

https://kafka.apache.org/downloads#3.4.0

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

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 117 contributors to this release!

A. Sophie Blee-Goldman, Ahmed Sobeh, Akhilesh C, Akhilesh Chaganti,
Alan Sheinberg, aLeX, Alex Sorokoumov, Alexandre Garnier, Alyssa
Huang, Andras Katona, Andrew Borley, Andrew Dean, andymg3, Artem
Livshits, Ashmeet Lamba, Badai Aqrandista, Bill Bejeck, Bruno Cadonna,
Calvin Liu, Chase Thomas, Chia-Ping Tsai, Chris Egerton, Christo
Lolov, Christopher L. Shannon, Colin P. McCabe, Colin Patrick McCabe,
Dalibor Plavcic, Dan Stelljes, Daniel Fonai, David Arthur, David
Jacot, David Karlsson, David Mao, dengziming, Derek Troy-West, Divij
Vaidya, Edoardo Comar, Elkhan Eminov, Eugene Tolbakov, Federico
Valeri, Francesco Nigro, FUNKYE, Greg Harris, Guozhang Wang, Hao Li,
Himani Arora, Huilin Shi, Igor Soarez, Ismael Juma, James Hughes,
Janik Dotzel, Jason Gustafson, Jeff Kim, Jim Galasyn, JK-Wang, Joel
Hamill, John Roesler, Jonathan Albrecht, Jordan Bull, Jorge Esteban
Quilcate Otoya, José Armando García Sancio, Justine Olshan, K8sCat,
Kirk True, Kvicii, Levani Kokhreidze, Liam Clarke-Hutchinson,
LinShunKang, liuzc9, liuzhuang2017, Lucas Brutschy, Lucia Cerchie,
Luke Chen, Manikumar Reddy, Matthew de Detrich, Matthew Stidham,
Matthias J. Sax, Mickael Maison, Nandini Anagondi, Nick Telford,
nicolasguyomar, Niket, Niket Goel, Nikolay, Okada Haruki, Oliver
Eikemeier, Omnia G H Ibrahim, Orsák Maroš, Patrik Marton, Peter Nied,
Philip Nee, Philipp Trulson, Pratim SC, Proven Provenzano, Purshotam
Chauhan, Rajini Sivaram, Ramesh, Rens Groothuijsen, RivenSun, Rohan,
Ron Dagostino, runom, Sanjana Kaundinya, Satish Duggana, Shawn, Shay
Lin, Shenglong Zhang, srishti-saraswat, Stanislav Vodetskyi, Sushant
Mahajan, Tom Bentley, vamossagar12, venkatteki, Vicky Papavasileiou,
Walker Carlson, Yash Mayya, zou shengfu, 行路难行路


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