David,

Thanks for running the release!

-Bill

On Wed, Apr 15, 2020 at 4:45 PM Matthias J. Sax <mj...@apache.org> 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
> >
>
>

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