Thank you for great work! :) On Fri, Jul 20, 2018 at 11:25 AM Guozhang Wang <wangg...@gmail.com> wrote:
> Dong, thanks for driving the release! > > On Thu, Jul 19, 2018 at 6:51 PM, Ismael Juma <isma...@gmail.com> wrote: > > > Thank you for managing the release Dong! > > > > Ismael > > > > On Thu, 19 Jul 2018, 16:54 Dong Lin, <lind...@apache.org> wrote: > > > > > The Apache Kafka community is pleased to announce the release for > Apache > > > Kafka 1.1.1. > > > > > > This is a bug fix release and it includes fixes and improvements from > 43 > > > JIRAs, including a few critical bugs. > > > > > > All of the changes in this release can be found in the release notes: > > > > > > https://dist.apache.org/repos/dist/release/kafka/1.1.1/ > > RELEASE_NOTES.html > > > > > > You can download the source release from: > > > > > > * > > > https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.1/ > > kafka-1.1.1-src.tgz > > > < > > > https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.1/ > > kafka-1.1.1-src.tgz > > > >* > > > > > > and binary releases from: > > > > > > * > > > https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.1/ > > kafka_2.11-1.1.1.tgz > > > < > > > https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.1/ > > kafka_2.11-1.1.1.tgz > > > >* > > > (Scala 2.11) > > > > > > * > > > https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.1/ > > kafka_2.12-1.1.1.tgz > > > < > > > https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.1/ > > kafka_2.12-1.1.1.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 29 contributors to this release! > > > > > > Ismael Juma, Rajini Sivaram, Matthias J. Sax, Guozhang Wang, Anna > > Povzner, > > > tedyu, Jagadesh Adireddi, John Roesler, Manikumar Reddy O, Randall > Hauch, > > > Attila Sasvari, Chia-Ping Tsai, Colin Patrick McCabe, Dhruvil Shah, > Fedor > > > Bobin, Gitomain, Gunnar Morling, Jarek Rudzinski, Jason Gustafson, Jun > > Rao, > > > Mickael Maison, Robert Yokota, Vahid Hashemian, Valentino Proietti, > > fredfp, > > > huxi, maytals, ro7m, yaphet > > > > > > 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! > > > > > > > > > Regards, > > > Dong > > > > > > > > > -- > -- Guozhang > > -- > *Dongjin Lee* > > *A hitchhiker in the mathematical world.* > > *github: <http://goog_969573159/>github.com/dongjinleekr > <http://github.com/dongjinleekr>linkedin: kr.linkedin.com/in/dongjinleekr > <http://kr.linkedin.com/in/dongjinleekr>slideshare: > www.slideshare.net/dongjinleekr > <http://www.slideshare.net/dongjinleekr>* >
