The Apache Kafka community is pleased to announce the release for Apache Kafka 2.6.0
* TLSv1.3 has been enabled by default for Java 11 or newer. * Significant performance improvements, especially when the broker has large numbers of partitions * Smooth scaling out of Kafka Streams applications * Kafka Streams support for emit on change * New metrics for better operational insight * Kafka Connect can automatically create topics for source connectors * Improved error reporting options for sink connectors in Kafka Connect * New Filter and conditional SMTs in Kafka Connect * The default value for the `client.dns.lookup` configuration is now `use_all_dns_ips` * Upgrade Zookeeper to 3.5.8 This release also includes other features, 74 improvements, 175 bug fixes, plus other changes. All of the changes in this release can be found in the release notes: https://www.apache.org/dist/kafka/2.6.0/RELEASE_NOTES.html You can download the source and binary release (Scala 2.12 and 2.13) from: https://kafka.apache.org/downloads#2.6.0 --------------------------------------------------------------------------------------------------- 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 for the following 127 contributors to this release! 17hao, A. Sophie Blee-Goldman, Aakash Shah, Adam Bellemare, Agam Brahma, Alaa Zbair, Alexandra Rodoni, Andras Katona, Andrew Olson, Andy Coates, Aneel Nazareth, Anna Povzner, Antony Stubbs, Arjun Satish, Auston, avalsa, Badai Aqrandista, belugabehr, Bill Bejeck, Bob Barrett, Boyang Chen, Brian Bushree, Brian Byrne, Bruno Cadonna, Charles Feduke, Chia-Ping Tsai, Chris Egerton, Colin Patrick McCabe, Daniel, Daniel Beskin, David Arthur, David Jacot, David Mao, dengziming, Dezhi “Andy” Fang, Dima Reznik, Dominic Evans, Ego, Eric Bolinger, Evelyn Bayes, Ewen Cheslack-Postava, fantayeneh, feyman2016, Florian Hussonnois, Gardner Vickers, Greg Harris, Gunnar Morling, Guozhang Wang, high.lee, Hossein Torabi, huxi, Ismael Juma, Jason Gustafson, Jeff Huang, jeff kim, Jeff Widman, Jeremy Custenborder, Jiamei Xie, jiameixie, jiao, Jim Galasyn, Joel Hamill, John Roesler, Jorge Esteban Quilcate Otoya, José Armando García Sancio, Konstantine Karantasis, Kowshik Prakasam, Kun Song, Lee Dongjin, Leonard Ge, Lev Zemlyanov, Levani Kokhreidze, Liam Clarke-Hutchinson, Lucas Bradstreet, Lucent-Wong, Magnus Edenhill, Manikumar Reddy, Mario Molina, Matthew Wong, Matthias J. Sax, maulin-vasavada, Michael Viamari, Michal T, Mickael Maison, Mitch, Navina Ramesh, Navinder Pal Singh Brar, nicolasguyomar, Nigel Liang, Nikolay, Okada Haruki, Paul, Piotr Fras, Radai Rosenblatt, Rajini Sivaram, Randall Hauch, Rens Groothuijsen, Richard Yu, Rigel Bezerra de Melo, Rob Meng, Rohan, Ron Dagostino, Sanjana Kaundinya, Scott, Scott Hendricks, sebwills, Shailesh Panwar, showuon, SoontaekLim, Stanislav Kozlovski, Steve Rodrigues, Svend Vanderveken, Sönke Liebau, THREE LEVEL HELMET, Tom Bentley, Tu V. Tran, Valeria, Vikas Singh, Viktor Somogyi, vinoth chandar, Vito Jeng, Xavier Léauté, xiaodongdu, Zach Zhang, zhaohaidao, zshuo, 阿洋 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, Randall Hauch
