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From Randall Hauch <rha...@apache.org>
Subject [ANNOUNCE] Apache Kafka 2.6.0
Date Thu, 06 Aug 2020 14:23:55 GMT
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:

You can download the source and binary release (Scala 2.12 and 2.13) from:


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

Thank you!


Randall Hauch

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