The Apache Kafka community is pleased to announce the release for Apache Kafka 3.3.1.
Kafka 3.3.1 includes a number of significant new features. Here is a summary of some notable changes: KIP-833: Mark KRaft as Production Ready KIP-778: KRaft to KRaft upgrades KIP-835: Monitor KRaft Controller Quorum health KIP-794: Strictly Uniform Sticky Partitioner KIP-834: Pause/resume KafkaStreams topologies KIP-618: Exactly-Once support for source connectors All of the changes in this release can be found in the release notes: https://www.apache.org/dist/kafka/3.3.1/RELEASE_NOTES.html https://archive.apache.org/dist/kafka/3.3.0/RELEASE_NOTES.html You can download the source and binary release (Scala 2.12 and 2.13) from: https://kafka.apache.org/downloads#3.3.1 --------------------------------------------------------------------------------------------------- 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 115 contributors to this release! Akhilesh C, Akhilesh Chaganti, Alan Sheinberg, Aleksandr Sorokoumov, Alex Sorokoumov, Alok Nikhil, Alyssa Huang, Aman Singh, Amir M. Saeid, Anastasia Vela, András Csáki, Andrew Borley, Andrew Dean, andymg3, Aneesh Garg, Artem Livshits, A. Sophie Blee-Goldman, Bill Bejeck, Bounkong Khamphousone, bozhao12, Bruno Cadonna, Chase Thomas, chern, Chris Egerton, Christo Lolov, Christopher L. Shannon, CHUN-HAO TANG, Clara Fang, Clay Johnson, Colin Patrick McCabe, David Arthur, David Jacot, David Mao, Dejan Maric, dengziming, Derek Troy-West, Divij Vaidya, Edoardo Comar, Edwin, Eugene Tolbakov, Federico Valeri, Guozhang Wang, Hao Li, Hongten, Idan Kamara, Ismael Juma, Jacklee, James Hughes, Jason Gustafson, JK-Wang, jnewhouse, Joel Hamill, John Roesler, Jorge Esteban Quilcate Otoya, José Armando García Sancio, jparag, Justine Olshan, K8sCat, Kirk True, Konstantine Karantasis, Kvicii, Lee Dongjin, Levani Kokhreidze, Liam Clarke-Hutchinson, Lucas Bradstreet, Lucas Wang, Luke Chen, Manikumar Reddy, Marco Aurelio Lotz, Matthew de Detrich, Matthias J. Sax, Mickael Maison, Mike Lothian, Mike Tobola, Milind Mantri, nicolasguyomar, Niket, Niket Goel, Nikolay, Okada Haruki, Philip Nee, Prashanth Joseph Babu, Rajani Karuturi, Rajini Sivaram, Randall Hauch, Richard Joerger, Rittika Adhikari, RivenSun, Rohan, Ron Dagostino, ruanliang, runom, Sanjana Kaundinya, Sayantanu Dey, SC, sciclon2, Shawn, sunshujie1990, Thomas Cooper, Tim Patterson, Tom Bentley, Tom Kaszuba, Tomonari Yamashita, vamossagar12, Viktor Somogyi-Vass, Walker Carlson, Xavier Léauté, Xiaobing Fang, Xiaoyue Xue, xjin-Confluent, xuexiaoyue, Yang Yu, Yash Mayya, Yu, yun-yun 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! José
