David, Thanks for running the release!
-Bill On Wed, Apr 15, 2020 at 4:45 PM Matthias J. Sax <[email protected]> wrote: > Thanks for running the release David! > > -Matthias > > On 4/15/20 1:15 PM, David Arthur 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 > > > >
