The Apache Kafka community is pleased to announce the release for
Apache Kafka 4.1.2.
This bug-fix release includes several critical fixes as documented in
the release notes.
All of the changes in this release can be found in the release notes:
https://www.apache.org/dist/kafka/4.1.2/RELEASE_NOTES.html
An overview of the release can be found in our announcement blog post:
https://kafka.apache.org/blog
You can download the source and binary release from:
https://kafka.apache.org/community/downloads/#412
---------------------------------------------------------------------------------------------------
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 39 contributors to this release!
(Please report an unintended omission)
Alex, Andrew Schofield, Anton Vasanth, Arpit Goyal, Bill Bejeck,
Chia-Ping Tsai, Copilot, David Arthur, David Jacot, Dongnuo Lyu, Donny
Nadolny, Eric Chang, Erik Anderson, Federico Valeri, Gaurav Narula,
Genseric Ghiro, Harish Vishwanath, Hong-Yi Chen, Ilyas Toumlilt, Izzy
Harker, Jian, jimmy, Jun Rao, Ken Huang, Kirk True, Kuan-Po Tseng, Lan
Ding, Lianet Magrans, Lucas Brutschy, majialong, Manikumar Reddy,
Matthias J. Sax, Matthias Sax, Mickael Maison, Ming-Yen Chung, Nikita
Shupletsov, PoAn Yang, Rajini Sivaram, Sean Quah
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,
Andrew Schofield
Release Manager for Apache Kafka 4.1.2
Apache Kafka 4.1.2.
This bug-fix release includes several critical fixes as documented in
the release notes.
All of the changes in this release can be found in the release notes:
https://www.apache.org/dist/kafka/4.1.2/RELEASE_NOTES.html
An overview of the release can be found in our announcement blog post:
https://kafka.apache.org/blog
You can download the source and binary release from:
https://kafka.apache.org/community/downloads/#412
---------------------------------------------------------------------------------------------------
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 39 contributors to this release!
(Please report an unintended omission)
Alex, Andrew Schofield, Anton Vasanth, Arpit Goyal, Bill Bejeck,
Chia-Ping Tsai, Copilot, David Arthur, David Jacot, Dongnuo Lyu, Donny
Nadolny, Eric Chang, Erik Anderson, Federico Valeri, Gaurav Narula,
Genseric Ghiro, Harish Vishwanath, Hong-Yi Chen, Ilyas Toumlilt, Izzy
Harker, Jian, jimmy, Jun Rao, Ken Huang, Kirk True, Kuan-Po Tseng, Lan
Ding, Lianet Magrans, Lucas Brutschy, majialong, Manikumar Reddy,
Matthias J. Sax, Matthias Sax, Mickael Maison, Ming-Yen Chung, Nikita
Shupletsov, PoAn Yang, Rajini Sivaram, Sean Quah
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,
Andrew Schofield
Release Manager for Apache Kafka 4.1.2
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