I've just published a blog post highlighting many of the improvements that landed with 2.5.0.
https://blogs.apache.org/kafka/entry/what-s-new-in-apache2 -David On Wed, Apr 15, 2020 at 4:15 PM David Arthur <davidart...@apache.org> wrote: > The Apache Kafka community is pleased to announce the release for Apache > Kafka 2.5.0 > > This release includes many new features, including: > > * TLS 1.3 support (1.2 is now the default) > * Co-groups for Kafka Streams > * Incremental rebalance for Kafka Consumer > * New metrics for better operational insight > * Upgrade Zookeeper to 3.5.7 > * Deprecate support for Scala 2.11 > > All of the changes in this release can be found in the release notes: > https://www.apache.org/dist/kafka/2.5.0/RELEASE_NOTES.html > > > You can download the source and binary release (Scala 2.12 and 2.13) from: > https://kafka.apache.org/downloads#2.5.0 > > > --------------------------------------------------------------------------------------------------- > > > Apache Kafka is a distributed streaming platform with four core APIs: > > > ** The Producer API allows an application to publish a stream 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 108 contributors to this release! > > A. Sophie Blee-Goldman, Adam Bellemare, Alaa Zbair, Alex Kokachev, Alex > Leung, Alex Mironov, Alice, Andrew Olson, Andy Coates, Anna Povzner, Antony > Stubbs, Arvind Thirunarayanan, belugabehr, bill, Bill Bejeck, Bob Barrett, > Boyang Chen, Brian Bushree, Brian Byrne, Bruno Cadonna, Bryan Ji, Chia-Ping > Tsai, Chris Egerton, Chris Pettitt, Chris Stromberger, Colin P. Mccabe, > Colin Patrick McCabe, commandini, Cyrus Vafadari, Dae-Ho Kim, David Arthur, > David Jacot, David Kim, David Mao, dengziming, Dhruvil Shah, Edoardo Comar, > Eduardo Pinto, Fábio Silva, gkomissarov, Grant Henke, Greg Harris, Gunnar > Morling, Guozhang Wang, Harsha Laxman, high.lee, highluck, Hossein Torabi, > huxi, huxihx, Ismael Juma, Ivan Yurchenko, Jason Gustafson, jiameixie, John > Roesler, José Armando García Sancio, Jukka Karvanen, Karan Kumar, Kevin Lu, > Konstantine Karantasis, Lee Dongjin, Lev Zemlyanov, Levani Kokhreidze, > Lucas Bradstreet, Manikumar Reddy, Mathias Kub, Matthew Wong, Matthias J. > Sax, Michael Gyarmathy, Michael Viamari, Mickael Maison, Mitch, > mmanna-sapfgl, NanerLee, Narek Karapetian, Navinder Pal Singh Brar, > nicolasguyomar, Nigel Liang, NIkhil Bhatia, Nikolay, ning2008wisc, Omkar > Mestry, Rajini Sivaram, Randall Hauch, ravowlga123, Raymond Ng, Ron > Dagostino, sainath batthala, Sanjana Kaundinya, Scott, Seungha Lee, Simon > Clark, Stanislav Kozlovski, Svend Vanderveken, Sönke Liebau, Ted Yu, Tom > Bentley, Tomislav, Tu Tran, Tu V. Tran, uttpal, Vikas Singh, Viktor > Somogyi, vinoth chandar, wcarlson5, Will James, Xin Wang, zzccctv > > 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, > David Arthur >