Congratulations to all the contributors! Thanks José and David for running this release.
On Mon, Oct 3, 2022 at 6:22 PM José Armando García Sancio <jsan...@apache.org> wrote: > > 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
