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From "Colin McCabe" <cmcc...@apache.org>
Subject Re: [ANNOUNCE] Apache Kafka 2.3.0
Date Tue, 02 Jul 2019 01:05:06 GMT
Hi Mickael,

Thanks for pointing this out.  It should be fixed now.

best,
Colin

On Mon, Jul 1, 2019, at 09:14, Mickael Maison wrote:
> Colin,
> 
> The javadocs links are broken:
> The requested URL /23/javadoc/index.html was not found on this server.
> 
> It's the 3rd time in a row this happens (2.1 and 2.2 had the same
> issue at release). Last time, Guozhang confirmed this step is in the
> release process but maybe this needs to be highlighted
> 
> On Tue, Jun 25, 2019 at 8:22 PM Colin McCabe <cmccabe@apache.org> wrote:
> >
> > Thanks to everyone who reviewed the Apache blog post about 2.3.  It's live now at
https://blogs.apache.org/kafka/date/20190624
> >
> > Plus, Tim Berglund made a video about what's new in this release.  https://www.youtube.com/watch?v=sNqwJT2WguQ
> >
> > Finally, check out Stéphane Maarek's video about 2.3 here: https://www.youtube.com/watch?v=YutjYKSGd64
> >
> > cheers,
> > Colin
> >
> >
> > On Tue, Jun 25, 2019, at 09:40, Colin McCabe wrote:
> > > The Apache Kafka community is pleased to announce the release for
> > > Apache Kafka 2.3.0.
> > > This release includes several new features, including:
> > >
> > > - There have been several improvements to the Kafka Connect REST API.
> > > - Kafka Connect now supports incremental cooperative rebalancing.
> > > - Kafka Streams now supports an in-memory session store and window
> > > store.
> > > - The AdminClient now allows users to determine what operations they
> > > are authorized to perform on topics.
> > > - There is a new broker start time metric.
> > > - JMXTool can now connect to secured RMI ports.
> > > - An incremental AlterConfigs API has been added.  The old AlterConfigs
> > > API has been deprecated.
> > > - We now track partitions which are under their min ISR count.
> > > - Consumers can now opt-out of automatic topic creation, even when it
> > > is enabled on the broker.
> > > - Kafka components can now use external configuration stores (KIP-421)
> > > - We have implemented improved replica fetcher behavior when errors are
> > > encountered
> > >
> > > All of the changes in this release can be found in the release notes:
> > > https://www.apache.org/dist/kafka/2.3.0/RELEASE_NOTES.html
> > >
> > >
> > > You can download the source and binary release (Scala 2.11 and 2.12) from:
> > > https://kafka.apache.org/downloads#2.3.0
> > >
> > > All of the changes in this release can be found in the release notes:
> > > https://www.apache.org/dist/kafka/2.3.0/RELEASE_NOTES.html
> > >
> > > You can download the source and binary release (Scala 2.11 and 2.12) from:
> > > https://kafka.apache.org/downloads#2.3.0
> > >
> > > ---------------------------------------------------------------------------------------------------
> > >
> > > 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 101 contributors to this release!
> > >
> > > Aishwarya Gune, Alex Diachenko, Alex Dunayevsky, Anna Povzner, Arabelle
> > > Hou, Arjun Satish, A. Sophie Blee-Goldman, asutosh936, Bill Bejeck, Bob
> > > Barrett, Boyang Chen, Brian Bushree, cadonna, Casey Green, Chase
> > > Walden, Chia-Ping Tsai, Chris Egerton, Chris Steingen, Colin Hicks,
> > > Colin Patrick McCabe, commandini, cwildman, Cyrus Vafadari, Dan
> > > Norwood, David Arthur, Dejan Stojadinović, Dhruvil Shah, Doroszlai,
> > > Attila, Ewen Cheslack-Postava, Fangbin Sun, Filipe Agapito, Florian
> > > Hussonnois, Gardner Vickers, Guozhang Wang, Gwen Shapira, Hai-Dang Dam,
> > > highluck, huxi, huxihx, Ismael Juma, Ivan Yurchenko, Jarrod Urban,
> > > Jason Gustafson, John Roesler, José Armando García Sancio, Joyce Fee,
> > > Jun Rao, KartikVK, Kengo Seki, Kevin Lu, khairy, Konstantine
> > > Karantasis, Kristian Aurlien, Kyle Ambroff-Kao, lambdaliu, Lee Dongjin,
> > > Lifei Chen, Lucas Bradstreet, Lysss, lzh3636, Magesh Nandakumar,
> > > Manikumar Reddy, Mark Cho, Massimo Siani, Matthias J. Sax, Michael
> > > Gruben Trejo, Mickael Maison, Murad, Nicholas Parker, opera443399, Paul
> > > Davidson, pierDipi, pkleindl, Radai Rosenblatt, Rajini Sivaram, Randall
> > > Hauch, Rohan, Rohan Desai, Ron Dagostino, Ryan Chen, saisandeep,
> > > sandmannn, sdreynolds, Sebastián Ortega, Shaobo Liu, Sönke Liebau,
> > > Stanislav Kozlovski, Suman BN, tadsul, Tcsalist, Ted Yu, Vahid
> > > Hashemian, Victoria Bialas, Viktor Somogyi, Viktor Somogyi-Vass, Vito
> > > Jeng, wenhoujx, Xiongqi Wu, Yaroslav Klymko, Zhanxiang (Patrick) Huang
> > >
> > > 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,
> > > Colin
> > >
>

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