Thanks to Damian and Rajini for running the release and thanks to everyone
who helped make it happen!

Ismael

On Thu, Mar 29, 2018 at 2:27 AM, Rajini Sivaram <rsiva...@apache.org> wrote:

> The Apache Kafka community is pleased to announce the release for
>
> Apache Kafka 1.1.0.
>
>
> Kafka 1.1.0 includes a number of significant new features.
>
> Here is a summary of some notable changes:
>
>
> ** Kafka 1.1.0 includes significant improvements to the Kafka Controller
>
>    that speed up controlled shutdown. ZooKeeper session expiration edge
> cases
>
>    have also been fixed as part of this effort.
>
>
> ** Controller improvements also enable more partitions to be supported on a
>
>    single cluster. KIP-227 introduced incremental fetch requests, providing
>
>    more efficient replication when the number of partitions is large.
>
>
> ** KIP-113 added support for replica movement between log directories to
>
>    enable data balancing with JBOD.
>
>
> ** Some of the broker configuration options like SSL keystores can now be
>
>    updated dynamically without restarting the broker. See KIP-226 for
> details
>
>    and the full list of dynamic configs.
>
>
> ** Delegation token based authentication (KIP-48) has been added to Kafka
>
>    brokers to support large number of clients without overloading Kerberos
>
>    KDCs or other authentication servers.
>
>
> ** Several new features have been added to Kafka Connect, including header
>
>    support (KIP-145), SSL and Kafka cluster identifiers in the Connect REST
>
>    interface (KIP-208 and KIP-238), validation of connector names (KIP-212)
>
>    and support for topic regex in sink connectors (KIP-215). Additionally,
>
>    the default maximum heap size for Connect workers was increased to 2GB.
>
>
> ** Several improvements have been added to the Kafka Streams API, including
>
>    reducing repartition topic partitions footprint, customizable error
>
>    handling for produce failures and enhanced resilience to broker
>
>    unavailability.  See KIPs 205, 210, 220, 224 and 239 for details.
>
>
> All of the changes in this release can be found in the release notes:
>
>
>
> https://dist.apache.org/repos/dist/release/kafka/1.1.0/RELEASE_NOTES.html
>
>
>
>
> You can download the source release from:
>
>
>
> https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.0/
> kafka-1.1.0-src.tgz
>
>
>
> and binary releases from:
>
>
>
> https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.0/
> kafka_2.11-1.1.0.tgz
>
> (Scala 2.11)
>
>
> https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.0/
> kafka_2.12-1.1.0.tgz
>
> (Scala 2.12)
>
>
> ------------------------------------------------------------
> ------------------
>
>
>
> 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.three key capabilities:
>
>
>
>
> 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 120 contributors to this release!
>
>
> Adem Efe Gencer, Alex Good, Andras Beni, Andy Bryant, Antony Stubbs,
>
> Apurva Mehta, Arjun Satish, bartdevylder, Bill Bejeck, Charly Molter,
>
> Chris Egerton, Clemens Valiente, cmolter, Colin P. Mccabe,
>
> Colin Patrick McCabe, ConcurrencyPractitioner, Damian Guy, dan norwood,
>
> Daniel Wojda, Derrick Or, Dmitry Minkovsky, Dong Lin, Edoardo Comar,
>
> ekenny, Elyahou, Eugene Sevastyanov, Ewen Cheslack-Postava, Filipe Agapito,
>
> fredfp, Gavrie Philipson, Gunnar Morling, Guozhang Wang, hmcl, Hugo Louro,
>
> huxi, huxihx, Igor Kostiakov, Ismael Juma, Ivan Babrou, Jacek Laskowski,
>
> Jakub Scholz, Jason Gustafson, Jeff Klukas, Jeff Widman, Jeremy
> Custenborder,
>
> Jeyhun Karimov, Jiangjie (Becket) Qin, Jiangjie Qin, Jimin Hsieh, Joel
> Hamill,
>
> John Roesler, Jorge Quilcate Otoya, Jun Rao, Kamal C, Kamil Szymański,
>
> Koen De Groote, Konstantine Karantasis, lisa2lisa, Logan Buckley,
>
> Magnus Edenhill, Magnus Reftel, Manikumar Reddy, Manikumar Reddy O,
> manjuapu,
>
> Manjula K, Mats Julian Olsen, Matt Farmer, Matthias J. Sax,
>
> Matthias Wessendorf, Max Zheng, Maytee Chinavanichkit, Mickael Maison,
> Mikkin,
>
> mulvenna, Narendra kumar, Nick Chiu, Onur Karaman, Panuwat Anawatmongkhon,
>
> Paolo Patierno, parafiend, ppatierno, Prasanna Gautam, Radai Rosenblatt,
>
> Rajini Sivaram, Randall Hauch, Richard Yu, RichardYuSTUG, Robert Yokota,
>
> Rohan, Rohan Desai, Romain Hardouin, Ron Dagostino, sachinbhalekar,
>
> Sagar Chavan, Sandor Murakozi, Satish Duggana, Scott, Sean McCauliff,
>
> Siva Santhalingam, siva santhalingam, Soenke Liebau, Steven Aerts, Study,
>
> Tanvi Jaywant, tedyu, Tobias Gies, Tom Bentley, Tommy Becker, Travis
> Wellman,
>
> umesh chaudhary, Vahid Hashemian, Viktor Somogyi, Wladimir Schmidt,
>
> wushujames, Xavier Léauté, Xin Li, Yaswanth Kumar, ying-zheng, Yu, Yu-Jhe
>
>
>
> Many thanks to Damian Guy for driving this release.
>
>
> We welcome your help and feedback. For more information on how to
>
> report problems, and to get involved, visit the project website at
>
> http://kafka.apache.org/
>
>
>
> Thank you!
>
>
> Rajini
>

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